default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID27th IJCAI 2018: Stockholm, Sweden
- Jérôme Lang:
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden. ijcai.org 2018, ISBN 978-0-9992411-2-7
Invited Speakers
- Joyce Y. Chai, Qiaozi Gao, Lanbo She, Shaohua Yang, Sari Saba-Sadiya
, Guangyue Xu:
Language to Action: Towards Interactive Task Learning with Physical Agents. 2-9 - Hector Geffner:
Model-free, Model-based, and General Intelligence. 10-17 - Danica Kragic, Joakim Gustafson, Hakan Karaoguz, Patric Jensfelt, Robert Krug:
Interactive, Collaborative Robots: Challenges and Opportunities. 18-25
Main track
Agent-based and Multi-agent Systems
- Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah, Munindar P. Singh:
Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy. 28-34 - Shaull Almagor, Orna Kupferman, Giuseppe Perelli:
Synthesis of Controllable Nash Equilibria in Quantitative Objective Game. 35-41 - Georgios Amanatidis, Georgios Birmpas, Vangelis Markakis:
Comparing Approximate Relaxations of Envy-Freeness. 42-48 - Vincenzo Auletta, Diodato Ferraioli, Gianluigi Greco:
Reasoning about Consensus when Opinions Diffuse through Majority Dynamics. 49-55 - Haris Aziz, Piotr Faliszewski, Bernard Grofman, Arkadii Slinko, Nimrod Talmon:
Egalitarian Committee Scoring Rules. 56-62 - Xiaohui Bei, Guangda Huzhang, Warut Suksompong:
Truthful Fair Division without Free Disposal. 63-69 - Khaled Belahcène, Yann Chevaleyre, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane:
Accountable Approval Sorting. 70-76 - Francesco Belardinelli, Alessio Lomuscio, Aniello Murano, Sasha Rubin:
Alternating-time Temporal Logic on Finite Traces. 77-83 - Nikhil Bhargava, Christian J. Muise, Tiago Vaquero, Brian Charles Williams:
Managing Communication Costs under Temporal Uncertainty. 84-90 - Arpita Biswas, Siddharth Barman:
Fair Division Under Cardinality Constraints. 91-97 - Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway:
Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering. 98-104 - Vitor Bosshard, Ye Wang, Sven Seuken:
Non-decreasing Payment Rules for Combinatorial Auctions. 105-113 - Florian Brandl, Felix Brandt, Christian Stricker:
An Analytical and Experimental Comparison of Maximal Lottery Schemes. 114-120 - Tomás Brázdil, Antonín Kucera, Vojtech Rehák:
Solving Patrolling Problems in the Internet Environment. 121-127 - Gianluca Brero, Benjamin Lubin, Sven Seuken:
Combinatorial Auctions via Machine Learning-based Preference Elicitation. 128-136 - Markus Brill, Nimrod Talmon:
Pairwise Liquid Democracy. 137-143 - L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi:
Multiwinner Voting with Fairness Constraints. 144-151 - Hau Chan, Albert Xin Jiang:
An FPTAS for Computing Nash Equilibrium in Resource Graph Games. 152-158 - Paula Daniela Chocron, Paolo Pareti:
Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions. 159-165 - Moinul Morshed Porag Chowdhury, Christopher Kiekintveld, Son Tran, William Yeoh:
Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search. 166-172 - Richard Cole, Thanasis Lianeas, Evdokia Nikolova:
When Does Diversity of Agent Preferences Improve Outcomes in Selfish Routing? 173-179 - Theresa Csar, Martin Lackner, Reinhard Pichler:
Computing the Schulze Method for Large-Scale Preference Data Sets. 180-187 - Bart de Keijzer, Dominik Wojtczak:
Facility Reallocation on the Line. 188-194 - Lavindra de Silva, Felipe Meneguzzi, Brian Logan:
An Operational Semantics for a Fragment of PRS. 195-202 - Eduard Eiben, Robert Ganian, Sebastian Ordyniak:
A Structural Approach to Activity Selection. 203-209 - Sefi Erlich, Noam Hazon, Sarit Kraus:
Negotiation Strategies for Agents with Ordinal Preferences. 210-218 - Piotr Faliszewski, Rica Gonen, Martin Koutecký, Nimrod Talmon:
Opinion Diffusion and Campaigning on Society Graphs. 219-225 - Alireza Farhadi, MohammadTaghi Hajiaghayi:
On the Complexity of Chore Division. 226-232 - Gabriele Farina, Alberto Marchesi, Christian Kroer, Nicola Gatti, Tuomas Sandholm:
Trembling-Hand Perfection in Extensive-Form Games with Commitment. 233-239 - Diodato Ferraioli, Carmine Ventre:
Probabilistic Verification for Obviously Strategyproof Mechanisms. 240-246 - Michele Flammini, Manuel Mauro, Matteo Tonelli:
On Fair Price Discrimination in Multi-Unit Markets. 247-253 - Rupert Freeman, David M. Pennock:
An Axiomatic View of the Parimutuel Consensus Mechanism. 254-260 - Noah Golowich, Harikrishna Narasimhan, David C. Parkes:
Deep Learning for Multi-Facility Location Mechanism Design. 261-267 - Jordi Grau-Moya, Felix Leibfried, Haitham Bou-Ammar:
Balancing Two-Player Stochastic Games with Soft Q-Learning. 268-274 - Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi:
When Rigging a Tournament, Let Greediness Blind You. 275-281 - Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi:
Winning a Tournament by Any Means Necessary. 282-288 - The Anh Han, Simon Lynch, Long Tran-Thanh, Francisco C. Santos:
Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies. 289-295 - Dong Hao, Kai Li, Tao Zhou:
Payoff Control in the Iterated Prisoner's Dilemma. 296-302 - Adrian Haret, Hossein Khani, Stefano Moretti, Meltem Öztürk:
Ceteris paribus majority for social ranking. 303-309 - Daisuke Hatano, Yuichi Yoshida:
Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games. 310-316 - Benny Kimelfeld, Phokion G. Kolaitis, Julia Stoyanovich:
Computational Social Choice Meets Databases. 317-323 - Panagiotis Kouvaros, Alessio Lomuscio, Edoardo Pirovano:
Symbolic Synthesis of Fault-Tolerance Ratios in Parameterised Multi-Agent Systems. 324-330 - Christophe Labreuche, Simon Fossier:
Explaining Multi-Criteria Decision Aiding Models with an Extended Shapley Value. 331-339 - Martin Lackner, Piotr Skowron:
Approval-Based Multi-Winner Rules and Strategic Voting. 340-346 - Chanelle Lee, Jonathan Lawry, Alan F. T. Winfield:
Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus. 347-353 - Julien Lesca, Taiki Todo:
Service Exchange Problem. 354-360 - Priel Levy, David Sarne, Yonatan Aumann:
Tractable (Simple) Contests. 361-367 - Bin Li, Dong Hao, Dengji Zhao, Tao Zhou:
Customer Sharing in Economic Networks with Costs. 368-374 - Bo Li, Wenyang Li, Yingkai Li:
Dynamic Fair Division Problem with General Valuations. 375-381 - Chaojie Li, Chen Liu, Xinghuo Yu, Ke Deng, Tingwen Huang, Liangchen Liu:
Integrating Demand Response and Renewable Energy In Wholesale Market. 382-388 - Zhuoshu Li, Neal Gupta, Sanmay Das, John P. Dickerson:
Equilibrium Behavior in Competing Dynamic Matching Markets. 389-395 - Chun Kai Ling, Fei Fang, J. Zico Kolter:
What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games. 396-402 - Alessio Lomuscio, Edoardo Pirovano:
Verifying Emergence of Bounded Time Properties in Probabilistic Swarm Systems. 403-409 - Zbigniew Lonc, Miroslaw Truszczynski:
Maximin Share Allocations on Cycles. 410-416 - Hang Ma, Glenn Wagner, Ariel Felner, Jiaoyang Li, T. K. Satish Kumar, Sven Koenig:
Multi-Agent Path Finding with Deadlines. 417-423 - Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata:
Optimal Bidding Strategy for Brand Advertising. 424-432 - Jan Maly, Miroslaw Truszczynski, Stefan Woltran:
Preference Orders on Families of Sets - When Can Impossibility Results Be Avoided? 433-439 - Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen:
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations. 440-446 - Alberto Marchesi, Stefano Coniglio, Nicola Gatti:
Leadership in Singleton Congestion Games. 447-453 - Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe:
The Price of Usability: Designing Operationalizable Strategies for Security Games. 454-460 - Takahiro Miyoshi, Shigeo Matsubara:
Dynamically Forming a Group of Human Forecasters and Machine Forecaster for Forecasting Economic Indicators. 461-467 - Arianna Novaro, Umberto Grandi, Dominique Longin, Emiliano Lorini:
Goal-Based Collective Decisions: Axiomatics and Computational Complexity. 468-474 - Julian A. Padget, Marina De Vos, Charlie Ann Page:
Deontic Sensors. 475-481 - Erel Segal-Halevi, Warut Suksompong:
Democratic Fair Allocation of Indivisible Goods. 482-488 - Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann:
Double Auctions in Markets for Multiple Kinds of Goods. 489-497 - Erel Segal-Halevi:
Redividing the Cake. 498-504 - Weiran Shen, Zihe Wang, Song Zuo:
Ex-post IR Dynamic Auctions with Cost-per-Action Payments. 505-511 - Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang:
Designing the Game to Play: Optimizing Payoff Structure in Security Games. 512-518 - Dong Quan Vu, Patrick Loiseau, Alonso Silva:
Efficient Computation of Approximate Equilibria in Discrete Colonel Blotto Games. 519-526 - Huan Vu, Samir Aknine, Sarvapali D. Ramchurn:
A Decentralised Approach to Intersection Traffic Management. 527-533 - Thayne T. Walker, Nathan R. Sturtevant, Ariel Felner:
Extended Increasing Cost Tree Search for Non-Unit Cost Domains. 534-540 - Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman:
A Cloaking Mechanism to Mitigate Market Manipulation. 541-547 - Weiwei Wu, Xiang Liu, Minming Li:
Budget-feasible Procurement Mechanisms in Two-sided Markets. 548-554 - Mingyu Xiao, Xuanbei Wang:
Exact Algorithms and Complexity of Kidney Exchange. 555-561 - Bo Yang, Min Liu:
Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach. 562-568 - Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac:
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid. 569-575 - Yongjie Yang, Jianxin Wang:
Multiwinner Voting with Restricted Admissible Sets: Complexity and Strategyproofness. 576-582 - Tal Ze'evi, Roie Zivan, Omer Lev:
Socially Motivated Partial Cooperation in Multi-agent Local Search. 583-589 - Yuzhe Zhang, Kentaro Yahiro, Nathanaël Barrot, Makoto Yokoo:
Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints. 590-596
Computer Vision
- Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley:
MEnet: A Metric Expression Network for Salient Object Segmentation. 598-605 - Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han:
Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning. 606-612 - Junjie Chen, William K. Cheung, Anran Wang:
Learning Deep Unsupervised Binary Codes for Image Retrieval. 613-619 - Pu Chen, Xinyi Xu, Cheng Deng:
Deep View-Aware Metric Learning for Person Re-Identification. 620-626 - Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo:
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition. 627-634 - Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. 635-641 - Zhenzhong Chen, Wanjie Sun:
Scanpath Prediction for Visual Attention using IOR-ROI LSTM. 642-648 - Gong Cheng, Decheng Gao, Yang Liu, Junwei Han:
Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification. 649-655 - Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta:
Anonymizing k Facial Attributes via Adversarial Perturbations. 656-662 - Jingze Chi, Yuxin Peng:
Dual Adversarial Networks for Zero-shot Cross-media Retrieval. 663-669 - Guoxian Dai, Jin Xie, Yi Fang:
Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning. 670-676 - Pingyang Dai, Rongrong Ji, Haibin Wang, Qiong Wu, Yuyu Huang:
Cross-Modality Person Re-Identification with Generative Adversarial Training. 677-683 - Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, Pheng-Ann Heng:
R³Net: Recurrent Residual Refinement Network for Saliency Detection. 684-690 - Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. 691-697 - Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji:
Enhanced-alignment Measure for Binary Foreground Map Evaluation. 698-704 - Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, Yi Yang:
Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification. 705-711 - Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng:
Age Estimation Using Expectation of Label Distribution Learning. 712-718 - Lianli Gao, Jingkuan Song, Dongxiang Zhang, Heng Tao Shen:
Coarse-to-fine Image Co-segmentation with Intra and Inter Rank Constraints. 719-725 - Yuxiao Guo, Xin Tong:
View-Volume Network for Semantic Scene Completion from a Single Depth Image. 726-732 - Keke He, Yanwei Fu, Wuhao Zhang, Chengjie Wang, Yu-Gang Jiang, Feiyue Huang, Xiangyang Xue:
Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition. 733-740 - Xiangteng He, Yuxin Peng, Junjie Zhao:
StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization. 741-747 - Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang:
Co-attention CNNs for Unsupervised Object Co-segmentation. 748-756 - Zhongyue Huang, Jingwei Xu, Bingbing Ni:
Human Motion Generation via Cross-Space Constrained Sampling. 757-763 - Wei Ji, Xi Li, Yueting Zhuang, Omar El Farouk Bourahla, Yixin Ji, Shihao Li, Jiabao Cui:
Semantic Locality-Aware Deformable Network for Clothing Segmentation. 764-770 - Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma:
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination. 771-778 - Aishi Li, Ming Yang, Wanqi Yang:
Feature Integration with Adaptive Importance Maps for Visual Tracking. 779-785 - Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu:
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation. 786-792 - Nannan Li, Zhenzhong Chen:
Image Cationing with Visual-Semantic LSTM. 793-799 - Xuelong Li, Jian Yang, Qi Wang:
Nonrigid Points Alignment with Soft-weighted Selection. 800-806 - Yang Li, Kan Li, Xinxin Wang:
Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation. 807-813 - Chen Lin, Zhouyingcheng Liao, Peng Zhou, Jianguo Hu, Bingbing Ni:
Live Face Verification with Multiple Instantialized Local Homographic Parameterization. 814-820 - Anan Liu, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang:
Multi-Level Policy and Reward Reinforcement Learning for Image Captioning. 821-827 - Anan Liu, Shu Xiang, Wenhui Li, Weizhi Nie, Yuting Su:
Cross-Domain 3D Model Retrieval via Visual Domain Adaption. 828-834 - Decheng Liu, Nannan Wang, Chunlei Peng, Jie Li, Xinbo Gao:
Deep Attribute Guided Representation for Heterogeneous Face Recognition. 835-841 - Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. 842-848 - Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin:
Crowd Counting using Deep Recurrent Spatial-Aware Network. 849-855 - Weiquan Liu, Xuelun Shen, Cheng Wang, Zhihong Zhang, Chenglu Wen, Jonathan Li:
H-Net: Neural Network for Cross-domain Image Patch Matching. 856-863 - Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng:
DEL: Deep Embedding Learning for Efficient Image Segmentation. 864-870 - Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu:
Progressive Generative Hashing for Image Retrieval. 871-877 - David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park:
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. 878-884 - Junfu Pu, Wengang Zhou, Houqiang Li:
Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition. 885-891 - Jinwei Qi, Yuxin Peng, Yuxin Yuan:
Cross-media Multi-level Alignment with Relation Attention Network. 892-898 - Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen:
Dual Conditional GANs for Face Aging and Rejuvenation. 899-905 - Jingkuan Song, Pengpeng Zeng, Lianli Gao, Heng Tao Shen:
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering. 906-912 - Yuting Su, Wenhui Li, Anan Liu, Weizhi Nie:
Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval. 913-919 - Danyang Sun, Tongzheng Ren, Chongxuan Li, Hang Su, Jun Zhu:
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples. 920-927 - Tiezhu Sun, Wei Zhang, Zhijie Wang, Lin Ma, Zequn Jie:
Image-level to Pixel-wise Labeling: From Theory to Practice. 928-934 - Yongyi Tang, Lin Ma, Wei Liu, Wei-Shi Zheng:
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics. 935-941 - Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris N. Metaxas:
CR-GAN: Learning Complete Representations for Multi-view Generation. 942-948 - Hai Wan, Yonghao Luo, Bo Peng, Wei-Shi Zheng:
Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding. 949-956 - Guolong Wang, Junchi Yan, Zheng Qin:
Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment. 957-963 - Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen:
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision. 964-970 - Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang:
Collaborative Learning for Weakly Supervised Object Detection. 971-977 - Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma:
DRPose3D: Depth Ranking in 3D Human Pose Estimation. 978-984 - Qiang Wang, Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu, Steve J. Maybank:
Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking. 985-991 - Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li:
Ensemble Soft-Margin Softmax Loss for Image Classification. 992-998 - Yu Wang, Yi Niu, Peiyong Duan, Jianwei Lin, Yuanjie Zheng:
Deep Propagation Based Image Matting. 999-1006 - Yupei Wang, Xin Zhao, Yin Li, Xuecai Hu, Kaiqi Huang:
Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion. 1007-1013 - Zairan Wang, Weiming Li, Yueying Kao, Dongqing Zou, Qiang Wang, Minsu Ahn, Sunghoon Hong:
HCR-Net: A Hybrid of Classification and Regression Network for Object Pose Estimation. 1014-1020 - Zhouxia Wang, Tianshui Chen, Jimmy S. J. Ren, Weihao Yu, Hui Cheng, Liang Lin:
Deep Reasoning with Knowledge Graph for Social Relationship Understanding. 1021-1028 - Aming Wu, Yahong Han:
Multi-modal Circulant Fusion for Video-to-Language and Backward. 1029-1035 - Zheng Wu, Ruiheng Chang, Jiaxu Ma, Cewu Lu, Chi-Keung Tang:
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters. 1036-1042 - Huapeng Xu, Guilin Qi, Jingjing Li, Meng Wang, Kang Xu, Huan Gao:
Fine-grained Image Classification by Visual-Semantic Embedding. 1043-1049 - Pengfei Xu, Lei Wang, Ziyu Guan, Xia Zheng, Xiaojiang Chen, Zhanyong Tang, Dingyi Fang, Xiaoqing Gong, Zheng Wang:
Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach. 1050-1056 - Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu:
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks. 1057-1063 - Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao:
Semantic Structure-based Unsupervised Deep Hashing. 1064-1070 - Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin:
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection. 1071-1077 - Tsun-Yi Yang, Yi-Hsuan Huang, Yen-Yu Lin, Pi-Cheng Hsiu, Yung-Yu Chuang:
SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation. 1078-1084 - Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Xian-Sheng Hua, Zhenmin Tang:
Extracting Privileged Information from Untagged Corpora for Classifier Learning. 1085-1091 - Mang Ye, Zheng Wang, Xiangyuan Lan, Pong C. Yuen:
Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking. 1092-1099 - Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, Jianhuang Lai:
Adversarial Attribute-Image Person Re-identification. 1100-1106 - Feiwu Yu, Xinxiao Wu, Yuchao Sun, Lixin Duan:
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks. 1107-1113 - Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao:
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding. 1114-1120 - Kun Yuan, Qian Zhang, Chang Huang, Shiming Xiang, Chunhong Pan:
SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification. 1121-1127 - Chenrui Zhang, Yuxin Peng:
Visual Data Synthesis via GAN for Zero-Shot Video Classification. 1128-1134 - Chenrui Zhang, Yuxin Peng:
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification. 1135-1141 - Mingjin Zhang, Nannan Wang, Xinbo Gao, Yunsong Li:
Markov Random Neural Fields for Face Sketch Synthesis. 1142-1148 - Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen:
Salient Object Detection by Lossless Feature Reflection. 1149-1155 - Rui Zhang, Sheng Tang, Luoqi Liu, Yongdong Zhang, Jintao Li, Shuicheng Yan:
High Resolution Feature Recovering for Accelerating Urban Scene Parsing. 1156-1162 - Shengchuan Zhang, Rongrong Ji, Jie Hu, Yue Gao, Chia-Wen Lin:
Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid. 1163-1169 - Xi Zhang, Di Ma, Xu Ouyang, Shanshan Jiang, Lin Gan, Gady Agam:
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask. 1170-1176 - Bin Zhao, Xuelong Li, Xiaoqiang Lu:
Video Captioning with Tube Features. 1177-1183 - Jian Zhao, Lin Xiong, Yu Cheng, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng:
3D-Aided Deep Pose-Invariant Face Recognition. 1184-1190 - Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng:
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection. 1191-1197 - Qiang Zhao, Chen Zhu, Feng Dai, Yike Ma, Guoqing Jin, Yongdong Zhang:
Distortion-aware CNNs for Spherical Images. 1198-1204 - Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao:
A Multi-task Learning Approach for Image Captioning. 1205-1211 - Yunwei Zhao, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang:
A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter. 1212-1218 - Linyu Zheng, Ming Tang, Jinqiao Wang:
Learning Robust Gaussian Process Regression for Visual Tracking. 1219-1225 - Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Feiyue Huang, Yanhua Yang:
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval. 1226-1233 - Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim:
DehazeGAN: When Image Dehazing Meets Differential Programming. 1234-1240
Constraints and SAT
- Özgür Akgün, Saad Attieh, Ian P. Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale, András Z. Salamon, Patrick Spracklen, James Wetter:
A Framework for Constraint Based Local Search using Essence. 1242-1248 - Dina Barak-Pelleg, Daniel Berend:
On the Satisfiability Threshold of Random Community-Structured SAT. 1249-1255 - Manuel Bodirsky, Peter Jonsson, Barnaby Martin, Antoine Mottet:
Classification Transfer for Qualitative Reasoning Problems. 1256-1262 - Thi-Bich-Hanh Dao, Chia-Tung Kuo, S. S. Ravi, Christel Vrain, Ian Davidson:
Descriptive Clustering: ILP and CP Formulations with Applications. 1263-1269 - Allegra De Filippo, Michele Lombardi, Michela Milano:
Methods for off-line/on-line optimization under uncertainty. 1270-1276 - Diego de Uña, Nataliia Rümmele, Graeme Gange, Peter Schachte, Peter J. Stuckey:
Machine Learning and Constraint Programming for Relational-To-Ontology Schema Mapping. 1277-1283 - Eduard Eiben, Robert Ganian, Dusan Knop, Sebastian Ordyniak:
Unary Integer Linear Programming with Structural Restrictions. 1284-1290 - Jan Elffers, Jakob Nordström:
Divide and Conquer: Towards Faster Pseudo-Boolean Solving. 1291-1299 - Jan Elffers, Jesús Giráldez-Cru, Stephan Gocht, Jakob Nordström, Laurent Simon:
Seeking Practical CDCL Insights from Theoretical SAT Benchmarks. 1300-1308 - Éric Grégoire, Yacine Izza, Jean-Marie Lagniez:
Boosting MCSes Enumeration. 1309-1315 - Emmanuel Hebrard, George Katsirelos:
Conflict Directed Clause Learning for Maximum Weighted Clique Problem. 1316-1323 - Luke Hunsberger, Roberto Posenato:
Simpler and Faster Algorithm for Checking the Dynamic Consistency of Conditional Simple Temporal Networks. 1324-1330 - Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
DMC: A Distributed Model Counter. 1331-1338 - Nian-Ze Lee, Yen-Shi Wang, Jie-Hong R. Jiang:
Solving Exist-Random Quantified Stochastic Boolean Satisfiability via Clause Selection. 1339-1345 - Zhendong Lei, Shaowei Cai:
Solving (Weighted) Partial MaxSAT by Dynamic Local Search for SAT. 1346-1352 - Nina Narodytska, Nikolaj S. Bjørner, Maria-Cristina V. Marinescu, Mooly Sagiv:
Core-Guided Minimal Correction Set and Core Enumeration. 1353-1361 - Nina Narodytska, Alexey Ignatiev, Filipe Pereira, João Marques-Silva:
Learning Optimal Decision Trees with SAT. 1362-1368 - Phan Duy Nhat, Hoai Minh Le, Hoai An Le Thi:
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression. 1369-1375 - Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Stratification for Constraint-Based Multi-Objective Combinatorial Optimization. 1376-1382 - Hélène Verhaeghe, Christophe Lecoutre, Pierre Schaus:
Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets. 1383-1389 - Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere:
A Reactive Strategy for High-Level Consistency During Search. 1390-1397 - Xizhe Zhang, Qian Li, Weixiong Zhang:
A Fast Algorithm for Generalized Arc Consistency of the Alldifferent Constraint. 1398-1403
Heuristic Search and Game Playing
- Chao Bian, Chao Qian, Ke Tang:
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms. 1405-1411 - Shaowei Cai, Wenying Hou, Jinkun Lin, Yuanjie Li:
Improving Local Search for Minimum Weight Vertex Cover by Dynamic Strategies. 1412-1418 - Patryk Chrabaszcz, Ilya Loshchilov, Frank Hutter:
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari. 1419-1426 - Liron Cohen, Tansel Uras, Shiva Jahangiri, Aliyah Arunasalam, Sven Koenig, T. K. Satish Kumar:
The FastMap Algorithm for Shortest Path Computations. 1427-1433 - Liron Cohen, Matias Greco, Hang Ma, Carlos Hernández, Ariel Felner, T. K. Satish Kumar, Sven Koenig:
Anytime Focal Search with Applications. 1434-1441 - Katharina Eggensperger, Marius Lindauer, Frank Hutter:
Neural Networks for Predicting Algorithm Runtime Distributions. 1442-1448 - Jian Gao, Jiejiang Chen, Minghao Yin, Rong Chen, Yiyuan Wang:
An Exact Algorithm for Maximum k-Plexes in Massive Graphs. 1449-1455 - Longkun Guo, Yunyun Deng, Kewen Liao, Qiang He, Timos Sellis, Zheshan Hu:
A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths. 1456-1462 - Manuel Heusner, Thomas Keller, Malte Helmert:
Best-Case and Worst-Case Behavior of Greedy Best-First Search. 1463-1470 - Yue Hu, Juntao Li, Xi Li, Gang Pan, Mingliang Xu:
Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement. 1471-1477 - Chao Qian, Yang Yu, Ke Tang:
Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection. 1478-1484 - Chao Qian, Chao Feng, Ke Tang:
Sequence Selection by Pareto Optimization. 1485-1491 - Chao Qian, Guiying Li, Chao Feng, Ke Tang:
Distributed Pareto Optimization for Subset Selection. 1492-1498 - Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein:
Meta-Level Control of Anytime Algorithms with Online Performance Prediction. 1499-1505 - Tansel Uras, Sven Koenig:
Understanding Subgoal Graphs by Augmenting Contraction Hierarchies. 1506-1513 - Yiyuan Wang, Shaowei Cai, Jiejiang Chen, Minghao Yin:
A Fast Local Search Algorithm for Minimum Weight Dominating Set Problem on Massive Graphs. 1514-1522 - Yuechen Wu, Wei Zhang, Ke Song:
Master-Slave Curriculum Design for Reinforcement Learning. 1523-1529
Humans and AI
- Yili Fang, Hailong Sun, Pengpeng Chen, Jinpeng Huai:
On the Cost Complexity of Crowdsourcing. 1531-1537 - Zehong Hu, Jie Zhang:
A Novel Strategy for Active Task Assignment in Crowd Labeling. 1538-1545 - Thao Le Minh, Nobuyuki Shimizu, Takashi Miyazaki, Koichi Shinoda:
Deep Learning Based Multi-modal Addressee Recognition in Visual Scenes with Utterances. 1546-1553 - Jiyi Li, Yukino Baba, Hisashi Kashima:
Simultaneous Clustering and Ranking from Pairwise Comparisons. 1554-1560 - Yang Li, Wenming Zheng, Zhen Cui, Tong Zhang, Yuan Zong:
A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition. 1561-1567 - Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
On the Efficiency of Data Collection for Crowdsourced Classification. 1568-1575 - Can Serif Mekik, Ron Sun, David Yun Dai:
Similarity-Based Reasoning, Raven's Matrices, and General Intelligence. 1576-1582 - ThaiBinh Nguyen, Atsuhiro Takasu:
NPE: Neural Personalized Embedding for Collaborative Filtering. 1583-1589 - Olabambo I. Oluwasuji, Obaid Malik, Jie Zhang, Sarvapali D. Ramchurn:
Algorithms for Fair Load Shedding in Developing Countries. 1590-1596 - Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan:
Jointly Learning Network Connections and Link Weights in Spiking Neural Networks. 1597-1603 - Hongchang Shan, Yu Liu, Todor P. Stefanov:
A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface. 1604-1610 - Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall:
Cross-Domain Depression Detection via Harvesting Social Media. 1611-1617 - Sunbeom So, Hakjoo Oh:
Synthesizing Pattern Programs from Examples. 1618-1624 - Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha:
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. 1625-1631 - Peizhi Wu, Yi Tu, Xiaojie Yuan, Adam Jatowt, Zhenglu Yang:
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks. 1632-1638 - Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu:
Memory Attention Networks for Skeleton-based Action Recognition. 1639-1645 - Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan:
CSNN: An Augmented Spiking based Framework with Perceptron-Inception. 1646-1652 - Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu:
Brain-inspired Balanced Tuning for Spiking Neural Networks. 1653-1659 - Sicheng Zhao, Guiguang Ding, Jungong Han, Yue Gao:
Personality-Aware Personalized Emotion Recognition from Physiological Signals. 1660-1667
Knowledge Representation and Reasoning
- Mario Alviano:
Query Answering in Propositional Circumscription. 1669-1675 - Giovanni Amendola, Nicola Leone, Marco Manna, Pierfrancesco Veltri:
Enhancing Existential Rules by Closed-World Variables. 1676-1682 - Giovanni Amendola, Leonid Libkin:
Explainable Certain Answers. 1683-1690 - Labinot Bajraktari, Magdalena Ortiz, Mantas Simkus:
Compiling Model Representations for Querying Large ABoxes in Expressive DLs. 1691-1698 - Bita Banihashemi, Giuseppe De Giacomo, Yves Lespérance:
Abstraction of Agents Executing Online and their Abilities in the Situation Calculus. 1699-1706 - Pablo Barceló, Gerald Berger, Carsten Lutz, Andreas Pieris:
First-Order Rewritability of Frontier-Guarded Ontology-Mediated Queries. 1707-1713 - Manuel Bichler, Michael Morak, Stefan Woltran:
Single-Shot Epistemic Logic Program Solving. 1714-1720 - Meghyn Bienvenu:
Inconsistency-Tolerant Ontology-Based Data Access Revisited: Taking Mappings into Account. 1721-1729 - Alexander Bochman:
Actual Causality in a Logical Setting. 1730-1736 - Bart Bogaerts, Antonius Weinzierl:
Exploiting Justifications for Lazy Grounding of Answer Set Programs. 1737-1745 - Piero A. Bonatti:
Fast Compliance Checking in an OWL2 Fragment. 1746-1752 - Annemarie Borg, Christian Straßer:
Relevance in Structured Argumentation. 1753-1759 - Zied Bouraoui, Steven Schockaert:
Learning Conceptual Space Representations of Interrelated Concepts. 1760-1766 - Markus Brenner, Birte Glimm:
Embracing Change by Abstraction Materialization Maintenance for Large ABoxes. 1767-1773 - Yijia Chen, Abdallah Saffidine, Christoph Schwering:
The Complexity of Limited Belief Reasoning - The Quantifier-Free Case. 1774-1780 - Nadia Creignou, Adrian Haret, Odile Papini, Stefan Woltran:
Belief Update in the Horn Fragment. 1781-1787 - Marcello D'Agostino, Sanjay Modgil:
A Study of Argumentative Characterisations of Preferred Subtheories. 1788-1794 - Thorsten Engesser, Robert Mattmüller, Bernhard Nebel, Michael Thielscher:
Game Description Language and Dynamic Epistemic Logic Compared. 1795-1802 - Bettina Fazzinga, Sergio Flesca, Filippo Furfaro:
Probabilistic bipolar abstract argumentation frameworks: complexity results. 1803-1809 - Cristina Feier, Carsten Lutz, Frank Wolter:
From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying. 1810-1816 - Devi Ganesan, Sutanu Chakraborti:
An Empirical Study of Knowledge Tradeoffs in Case-Based Reasoning. 1817-1823 - Laurent Garcia, Claire Lefèvre, Odile Papini, Igor Stéphan, Éric Würbel:
Possibilistic ASP Base Revision by Certain Input. 1824-1830 - Georg Gottlob, Marco Manna, Andreas Pieris:
Finite Model Reasoning in Hybrid Classes of Existential Rules. 1831-1837 - Sergio Greco, Cristian Molinaro, Irina Trubitsyna:
Computing Approximate Query Answers over Inconsistent Knowledge Bases. 1838-1846 - Víctor Gutiérrez-Basulto, Jean Christoph Jung, Leif Sabellek:
Reverse Engineering Queries in Ontology-Enriched Systems: The Case of Expressive Horn Description Logic Ontologies. 1847-1853 - Adrian Haret, Johannes Peter Wallner, Stefan Woltran:
Two Sides of the Same Coin: Belief Revision and Enforcing Arguments. 1854-1860 - André Hernich, Carsten Lutz, Fabio Papacchini, Frank Wolter:
Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying. 1861-1867 - Duligur Ibeling, Thomas Icard:
On the Conditional Logic of Simulation Models. 1868-1874 - Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Boris Motik, Ian Horrocks:
Stratified Negation in Limit Datalog Programs. 1875-1881 - Jonathan Laurent, Jean Yang, Walter Fontana:
Counterfactual Resimulation for Causal Analysis of Rule-Based Models. 1882-1890 - Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon:
Pseudo-Boolean Constraints from a Knowledge Representation Perspective. 1891-1897 - Minyi Li, Borhan Kazimipour:
An Efficient Algorithm To Compute Distance Between Lexicographic Preference Trees. 1898-1904 - Thomas Linsbichler, Marco Maratea, Andreas Niskanen, Johannes Peter Wallner, Stefan Woltran:
Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving. 1905-1911 - Qiang Liu, Yongmei Liu:
Multi-agent Epistemic Planning with Common Knowledge. 1912-1920 - Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro:
Complexity of Approximate Query Answering under Inconsistency in Datalog+/-. 1921-1927 - Tiago Mota, Mohan Sridharan:
Incrementally Grounding Expressions for Spatial Relations between Objects. 1928-1934 - Alexandre Perez, Rui Abreu:
Leveraging Qualitative Reasoning to Improve SFL. 1935-1941 - Daniele Porello, Nicolas Troquard, Rafael Peñaloza, Roberto Confalonieri, Pietro Galliani, Oliver Kutz:
Two Approaches to Ontology Aggregation Based on Axiom Weakening. 1942-1948 - Antonio Rago, Oana Cocarascu, Francesca Toni:
Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them. 1949-1955 - Taisuke Sato, Katsumi Inoue, Chiaki Sakama:
Abducing Relations in Continuous Spaces. 1956-1962 - Steven Schockaert, Sanjiang Li:
Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces. 1963-1969 - David Tena Cucala, Bernardo Cuenca Grau, Ian Horrocks:
Consequence-based Reasoning for Description Logics with Disjunction, Inverse Roles, Number Restrictions, and Nominals. 1970-1976 - Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert:
Inconsistency Measures for Repair Semantics in OBDA. 1977-1983 - Yizheng Zhao, Renate A. Schmidt:
On Concept Forgetting in Description Logics with Qualified Number Restrictions. 1984-1990
Machine Learning
- Ferran Alet, Rohan Chitnis, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Finding Frequent Entities in Continuous Data. 1992-1999 - Gundeep Arora, Anupreet Porwal, Kanupriya Agarwal, Avani Samdariya, Piyush Rai:
Small-Variance Asymptotics for Nonparametric Bayesian Overlapping Stochastic Blockmodels. 2000-2006 - Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao:
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences. 2007-2013 - Dongdong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou:
Tri-net for Semi-Supervised Deep Learning. 2014-2020 - Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li:
Adversarial Metric Learning. 2021-2027 - Minhao Cheng, Cho-Jui Hsieh:
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data. 2028-2034 - Edward Cheung, Yuying Li:
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations. 2035-2041 - Yoichi Chikahara, Akinori Fujino:
Causal Inference in Time Series via Supervised Learning. 2042-2048 - Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen:
Unifying and Merging Well-trained Deep Neural Networks for Inference Stage. 2049-2056 - Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard:
Behavior of Analogical Inference w.r.t. Boolean Functions. 2057-2063 - Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng:
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection. 2064-2070 - Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia:
Counterexample-Guided Data Augmentation. 2071-2078 - Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen:
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach. 2079-2085 - Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang:
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding. 2086-2092 - Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao:
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization. 2093-2099 - Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu:
A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios. 2100-2106 - Lei Feng, Bo An:
Leveraging Latent Label Distributions for Partial Label Learning. 2107-2113 - Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng:
Complementary Binary Quantization for Joint Multiple Indexing. 2114-2120 - Hongchang Gao, Heng Huang:
Joint Generative Moment-Matching Network for Learning Structural Latent Code. 2121-2127 - Hongchang Gao, Heng Huang:
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models. 2128-2134 - Jinyang Gao, Beng Chin Ooi, Yanyan Shen, Wang-Chien Lee:
Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics. 2135-2141 - Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu:
Active Discriminative Network Representation Learning. 2142-2148 - Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang:
Scalable Rule Learning via Learning Representation. 2149-2155 - Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang:
Teaching Semi-Supervised Classifier via Generalized Distillation. 2156-2162 - Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng:
Faster Training Algorithms for Structured Sparsity-Inducing Norm. 2163-2169 - Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng:
Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs. 2170-2176 - Shuqin Gu, Yuexian Hou, Lipeng Zhang, Yazhou Zhang:
Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method. 2177-2183 - Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng:
Energy-efficient Amortized Inference with Cascaded Deep Classifiers. 2184-2190 - Ruocheng Guo, Jundong Li, Huan Liu:
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process. 2191-2197 - Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Deniz Erdogmus, Jennifer G. Dy, Stratis Ioannidis:
Experimental Design under the Bradley-Terry Model. 2198-2204 - Tian Han, Jiawen Wu, Ying Nian Wu:
Replicating Active Appearance Model by Generator Network. 2205-2211 - Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng:
MIXGAN: Learning Concepts from Different Domains for Mixture Generation. 2212-2219 - Li He, Qi Meng, Wei Chen, Zhiming Ma, Tie-Yan Liu:
Differential Equations for Modeling Asynchronous Algorithms. 2220-2226 - Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua:
Outer Product-based Neural Collaborative Filtering. 2227-2233 - Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, Yi Yang:
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks. 2234-2240 - Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng:
Time-evolving Text Classification with Deep Neural Networks. 2241-2247 - Hoda Heidari, Andreas Krause:
Preventing Disparate Treatment in Sequential Decision Making. 2248-2254 - Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao:
Generative Adversarial Positive-Unlabelled Learning. 2255-2261 - Menglei Hu, Songcan Chen:
Doubly Aligned Incomplete Multi-view Clustering. 2262-2268 - Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin:
Summarizing Source Code with Transferred API Knowledge. 2269-2275 - Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou:
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search. 2276-2282 - Jiashen Hua, Xiaojin Gong:
A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling. 2283-2290 - Weiran Huang, Jungseul Ok, Liang Li, Wei Chen:
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications. 2291-2297 - Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang:
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. 2298-2304 - Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, Guiguang Ding, Dou Shen:
Automatic Gating of Attributes in Deep Structure. 2305-2311 - Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu:
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification. 2312-2318 - Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin:
Network Approximation using Tensor Sketching. 2319-2325 - Yeo-Jin Kim, Min Chi:
Temporal Belief Memory: Imputing Missing Data during RNN Training. 2326-2332 - Samuel Kolb, Stefano Teso, Andrea Passerini, Luc De Raedt:
Learning SMT(LRA) Constraints using SMT Solvers. 2333-2340 - Dejiang Kong, Fei Wu:
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction. 2341-2347 - Nils M. Kriege, Christopher Morris, Anja Rey, Christian Sohler:
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels. 2348-2354 - Trung Le, Hung Vu, Tu Dinh Nguyen, Dinh Q. Phung:
Geometric Enclosing Networks. 2355-2361 - Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson:
Open Loop Execution of Tree-Search Algorithms. 2362-2368 - Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh:
Z-Transforms and its Inference on Partially Observable Point Processes. 2369-2375 - Yunwen Lei, Shao-Bo Lin, Ke Tang:
Generalization Bounds for Regularized Pairwise Learning. 2376-2382 - Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang:
Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. 2383-2389 - Haifang Li, Yingce Xia, Wensheng Zhang:
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces. 2390-2396 - Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao:
Deep Joint Semantic-Embedding Hashing. 2397-2403 - Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang:
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling. 2404-2410 - Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao:
R-SVM+: Robust Learning with Privileged Information. 2411-2417 - Zejian Li, Yongchuan Tang, Yongxing He:
Unsupervised Disentangled Representation Learning with Analogical Relations. 2418-2424 - Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang:
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning. 2425-2432 - Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang:
Episodic Memory Deep Q-Networks. 2433-2439 - Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness B. Shroff:
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits. 2440-2446 - Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu:
Structured Inference for Recurrent Hidden Semi-markov Model. 2447-2453 - Kai Liu, Hua Wang:
High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization. 2454-2460 - Ninghao Liu, Donghwa Shin, Xia Hu:
Contextual Outlier Interpretation. 2461-2467 - Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo:
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization. 2468-2474 - Yanchi Liu, Tan Yan, Haifeng Chen:
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics. 2475-2482 - Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang:
Learning with Adaptive Neighbors for Image Clustering. 2483-2489 - Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao:
Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder. 2490-2496 - Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao:
Fast Cross-Validation. 2497-2503 - Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan:
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements. 2504-2510 - Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang:
AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks. 2511-2517 - Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu:
SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing. 2518-2524 - Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao:
Online Heterogeneous Transfer Metric Learning. 2525-2531 - Zhipeng Luo, Milos Hauskrecht:
Hierarchical Active Learning with Group Proportion Feedback. 2532-2538 - Sihan Ma, Lefei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu, Xuelong Li:
Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering. 2539-2545 - Sultan Javed Majeed, Marcus Hutter:
On Q-learning Convergence for Non-Markov Decision Processes. 2546-2552 - Xudong Mao, Qing Li:
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs. 2553-2559 - Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai:
Spectral Feature Scaling Method for Supervised Dimensionality Reduction. 2560-2566 - Francisco S. Melo, Carla Guerra, Manuel Lopes:
Interactive Optimal Teaching with Unknown Learners. 2567-2573 - Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang:
Neural Machine Translation with Key-Value Memory-Augmented Attention. 2574-2580 - Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols:
An Information Theory based Approach to Multisource Clustering. 2581-2587 - Yao Ni, Dandan Song, Xi Zhang, Hao Wu, Lejian Liao:
CAGAN: Consistent Adversarial Training Enhanced GANs. 2588-2594 - Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis:
A Degeneracy Framework for Graph Similarity. 2595-2601 - Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin:
Multinomial Logit Bandit with Linear Utility Functions. 2602-2608 - Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Adversarially Regularized Graph Autoencoder for Graph Embedding. 2609-2615 - Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic:
Generalization-Aware Structured Regression towards Balancing Bias and Variance. 2616-2622 - Cheng-Lun Peng, An Tao, Xin Geng:
Label Embedding Based on Multi-Scale Locality Preservation. 2623-2629 - Jinwei Qi, Yuxin Peng:
Cross-modal Bidirectional Translation via Reinforcement Learning. 2630-2636 - Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon:
Adversarial Constraint Learning for Structured Prediction. 2637-2643 - Pengzhen Ren, Yun Xiao, Pengfei Xu, Jun Guo, Xiaojiang Chen, Xin Wang, Dingyi Fang:
Robust Auto-Weighted Multi-View Clustering. 2644-2650 - Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska:
Reachability Analysis of Deep Neural Networks with Provable Guarantees. 2651-2659 - Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi:
Online Deep Learning: Learning Deep Neural Networks on the Fly. 2660-2666 - Aghiles Salah, Hady W. Lauw:
A Bayesian Latent Variable Model of User Preferences with Item Context. 2667-2674 - Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang:
Deep Discrete Prototype Multilabel Learning. 2675-2681 - Yanyan Shen, Jinyang Gao:
Refine or Represent: Residual Networks with Explicit Channel-wise Configuration. 2682-2688 - Hong Shi, Shaojun Pan, Jian Yang, Chen Gong:
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation. 2689-2695 - Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi:
Student-t Variational Autoencoder for Robust Density Estimation. 2696-2702 - Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Incomplete Multi-View Weak-Label Learning. 2703-2709 - Yunhao Tang, Shipra Agrawal:
Exploration by Distributional Reinforcement Learning. 2710-2716 - Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino, Luiz Chaimowicz:
Algorithms or Actions? A Study in Large-Scale Reinforcement Learning. 2717-2723 - Xian Teng, Muheng Yan, Ali Mert Ertugrul, Yu-Ru Lin:
Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks. 2724-2730 - Sebastian Tschiatschek, Aytunc Sahin, Andreas Krause:
Differentiable Submodular Maximization. 2731-2738 - Vincent W. S. Tseng, Sourav Bhattacharya, Javier Fernández-Marqués, Milad Alizadeh, Catherine Tong, Nicholas D. Lane:
Deterministic Binary Filters for Convolutional Neural Networks. 2739-2747 - Yuanyu Wan, Nan Wei, Lijun Zhang:
Efficient Adaptive Online Learning via Frequent Directions. 2748-2754 - Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. 2755-2761 - Guanghui Wang, Dakuan Zhao, Lijun Zhang:
Minimizing Adaptive Regret with One Gradient per Iteration. 2762-2768 - Hui Wang, Hanbin Zhao, Xi Li, Xu Tan:
Progressive Blockwise Knowledge Distillation for Neural Network Acceleration. 2769-2775 - Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi:
Ranking Preserving Nonnegative Matrix Factorization. 2776-2782 - Ke Wang, Xin Geng:
Binary Coding based Label Distribution Learning. 2783-2789 - Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun:
Convolutional Memory Blocks for Depth Data Representation Learning. 2790-2797 - Lichen Wang, Zhengming Ding, Yun Fu:
Adaptive Graph Guided Embedding for Multi-label Annotation. 2798-2804 - Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao:
Iterative Metric Learning for Imbalance Data Classification. 2805-2811 - Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu:
Feature Hashing for Network Representation Learning. 2812-2818 - Wenhai Wang, Xiang Li, Tong Lu, Jian Yang:
Mixed Link Networks. 2819-2825 - Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang:
New Balanced Active Learning Model and Optimization Algorithm. 2826-2832 - Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bin Chen, Haojie Li, Zhongxuan Luo:
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams. 2833-2839 - Huihui Wei, Ming Li:
Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training. 2840-2846 - Tong Wei, Yufeng Li:
Does Tail Label Help for Large-Scale Multi-Label Learning. 2847-2853 - Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen:
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. 2854-2860 - Wei Wu, Bin Li, Ling Chen, Chengqi Zhang:
Efficient Attributed Network Embedding via Recursive Randomized Hashing. 2861-2867 - Xuan Wu, Min-Ling Zhang:
Towards Enabling Binary Decomposition for Partial Label Learning. 2868-2874 - Zheng Xie, Ming Li:
Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization. 2875-2881 - Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang:
Multi-Label Co-Training. 2882-2888 - Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo:
De-biasing Covariance-Regularized Discriminant Analysis. 2889-2897 - Cai Xu, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang:
Deep Multi-View Concept Learning. 2898-2904 - Hongteng Xu, Dixin Luo, Lawrence Carin:
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes. 2905-2911 - Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo:
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling. 2912-2918 - Jie Xu, Lei Luo, Cheng Deng, Heng Huang:
Multi-Level Metric Learning via Smoothed Wasserstein Distance. 2919-2925 - Ning Xu, An Tao, Xin Geng:
Label Enhancement for Label Distribution Learning. 2926-2932 - Zhiqiang Xu, Xin Cao, Xin Gao:
Convergence Analysis of Gradient Descent for Eigenvector Computation. 2933-2939 - Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang:
PredCNN: Predictive Learning with Cascade Convolutions. 2940-2947 - Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha:
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning. 2948-2954 - Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang:
A Unified Analysis of Stochastic Momentum Methods for Deep Learning. 2955-2961 - Yifan Yan, Sheng-Jun Huang:
Cost-Effective Active Learning for Hierarchical Multi-Label Classification. 2962-2968 - Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu:
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation. 2969-2975 - Guolei Yang, Ying Cai, Chandan K. Reddy:
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis. 2976-2983 - Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng, Gang Pan:
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning. 2984-2990 - Peng Yang, Peilin Zhao, Xin Gao:
Bandit Online Learning on Graphs via Adaptive Optimization. 2991-2997 - Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang:
Semi-Supervised Multi-Modal Learning with Incomplete Modalities. 2998-3004 - Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong:
High-dimensional Similarity Learning via Dual-sparse Random Projection. 3005-3011 - Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He:
Distance Metric Facilitated Transportation between Heterogeneous Domains. 3012-3018 - Nanyang Ye, Zhanxing Zhu:
Stochastic Fractional Hamiltonian Monte Carlo. 3019-3025 - Haiyan Yin, Jianda Chen, Sinno Jialin Pan:
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning. 3026-3032 - Shujian Yu, Xiaoyang Wang, José C. Príncipe:
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels. 3033-3039 - Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang:
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization. 3040-3046 - Yang Yu, Wen-Ji Zhou:
Mixture of GANs for Clustering. 3047-3053 - Changqing Zhang, Yeqing Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu:
FISH-MML: Fisher-HSIC Multi-View Metric Learning. 3054-3060 - Chao Zhang, Yang Yu, Zhi-Hua Zhou:
Learning Environmental Calibration Actions for Policy Self-Evolution. 3061-3067 - Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li:
Learning to Design Games: Strategic Environments in Reinforcement Learning. 3068-3074 - Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin:
Generative Warfare Nets: Ensemble via Adversaries and Collaborators. 3075-3081 - Hongming Zhang, Liwei Qiu, Lingling Yi, Yangqiu Song:
Scalable Multiplex Network Embedding. 3082-3088 - Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang:
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices. 3089-3096 - Lu Zhang, Yongkai Wu, Xintao Wu:
Achieving Non-Discrimination in Prediction. 3097-3103 - Teng Zhang, Zhi-Hua Zhou:
Semi-Supervised Optimal Margin Distribution Machines. 3104-3110 - Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang:
Multi-modality Sensor Data Classification with Selective Attention. 3111-3117 - Xiao Zhang, Shizhong Liao:
Online Kernel Selection via Incremental Sketched Kernel Alignment. 3118-3124 - Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu:
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning. 3125-3131 - Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo:
Multi-Task Clustering with Model Relation Learning. 3132-3140 - Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Deqiang Kong:
Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection. 3141-3147 - Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu:
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. 3148-3154 - Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang:
ANRL: Attributed Network Representation Learning via Deep Neural Networks. 3155-3161 - Zizhao Zhang, Haojie Lin, Yue Gao:
Dynamic Hypergraph Structure Learning. 3162-3169 - Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang:
Deep Convolutional Neural Networks with Merge-and-Run Mappings. 3170-3176 - Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin:
Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning. 3177-3183 - Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang:
Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning. 3184-3190 - Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang:
Robust Feature Selection on Incomplete Data. 3191-3197 - Zhuobin Zheng, Chun Yuan, Zhihui Lin, Yangyang Cheng, Hanghao Wu:
Self-Adaptive Double Bootstrapped DDPG. 3198-3204 - Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang:
Where to Prune: Using LSTM to Guide End-to-end Pruning. 3205-3211 - Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang:
Trajectory-User Linking via Variational AutoEncoder. 3212-3218 - Fan Zhou, Guojing Cong:
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization. 3219-3227 - Ruida Zhou, Chao Gan, Jing Yang, Cong Shen:
Cost-aware Cascading Bandits. 3228-3234 - Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang:
Towards Generalized and Efficient Metric Learning on Riemannian Manifold. 3235-3241 - Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang:
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. 3242-3248 - Shaojun Zhu, Andrew Kimmel, Kostas E. Bekris, Abdeslam Boularias:
Fast Model Identification via Physics Engines for Data-Efficient Policy Search. 3249-3256 - Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang:
Robust Graph Dimensionality Reduction. 3257-3263 - Xiaotian Zhu, Wengang Zhou, Houqiang Li:
Improving Deep Neural Network Sparsity through Decorrelation Regularization. 3264-3270 - Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao:
Localized Incomplete Multiple Kernel k-means. 3271-3277 - Yonghua Zhu, Xiaofeng Zhu, Wei Zheng:
Robust Multi-view Learning via Half-quadratic Minimization. 3278-3284
Machine Learning Applications
- Nesreen K. Ahmed, Nick G. Duffield, Liangzhen Xia:
Sampling for Approximate Bipartite Network Projection. 3286-3292 - Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima, Hiroyuki Toda:
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data. 3293-3300 - Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, Jaewoo Kang:
Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation. 3301-3307 - Kun Chen, Kechao Cai, Longbo Huang, John C. S. Lui:
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback. 3308-3314 - Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng:
NeuCast: Seasonal Neural Forecast of Power Grid Time Series. 3315-3321 - Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri:
Predicting Complex Activities from Ongoing Multivariate Time Series. 3322-3328 - Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang:
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation. 3329-3335 - Szu-Yu Chou, Jyh-Shing Roger Jang, Yi-Hsuan Yang:
Learning to Recognize Transient Sound Events using Attentional Supervision. 3336-3342 - Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu:
Improving Implicit Recommender Systems with View Data. 3343-3349 - Disheng Dong, Xiaolin Zheng, Ruixun Zhang, Yan Wang:
Recurrent Collaborative Filtering for Unifying General and Sequential Recommender. 3350-3356 - Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li:
Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network. 3357-3363 - Hongchang Gao, Heng Huang:
Deep Attributed Network Embedding. 3364-3370 - Kyle Yingkai Gao, Achille Fokoue, Heng Luo, Arun Iyengar, Sanjoy Dey, Ping Zhang:
Interpretable Drug Target Prediction Using Deep Neural Representation. 3371-3377 - Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu:
Recommendation with Multi-Source Heterogeneous Information. 3378-3384 - Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha:
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management. 3385-3392 - Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song:
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. 3393-3399 - Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen:
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. 3400-3406 - Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang:
Integrative Network Embedding via Deep Joint Reconstruction. 3407-3413 - Duc-Trong Le, Hady W. Lauw, Yuan Fang:
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation. 3414-3420 - De-Ming Liang, Yufeng Li:
Lightweight Label Propagation for Large-Scale Network Data. 3421-3427 - Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng:
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction. 3428-3434 - Dongliang Liao, Weiqing Liu, Yuan Zhong, Jing Li, Guowei Wang:
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network. 3435-3441 - Guiliang Liu, Oliver Schulte:
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation. 3442-3448 - Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. 3449-3455 - Jie Liu, Zhicheng He, Yalou Huang:
Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model. 3456-3462 - Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin:
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback. 3463-3469 - Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou:
LC-RNN: A Deep Learning Model for Traffic Speed Prediction. 3470-3476 - Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang:
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. 3477-3483 - Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu, Shaoping Ma:
Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation. 3484-3490 - Zhuoqi Ma, Nannan Wang, Xinbo Gao, Jie Li:
From Reality to Perception: Genre-Based Neural Image Style Transfer. 3491-3497 - Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac:
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach. 3498-3505 - Yue Pang, Bo Yao, Xiangdong Zhou, Yong Zhang, Yiming Xu, Zijing Tan:
Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency. 3506-3512 - Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng:
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks. 3513-3519 - Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang:
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction. 3520-3526 - SungMin Rhee, Seokjun Seo, Sun Kim:
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification. 3527-3534 - Liren Shan, Yuhao Yi, Zhongzhi Zhang:
Improving Information Centrality of a Node in Complex Networks by Adding Edges. 3535-3541 - Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong:
A Joint Learning Approach to Intelligent Job Interview Assessment. 3542-3548 - Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun:
Discrete Network Embedding. 3549-3555 - Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda:
Estimating Latent People Flow without Tracking Individuals. 3556-3563 - Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang:
Power-law Distribution Aware Trust Prediction. 3564-3570 - Yang Wang, Yiwei Xiao, Xike Xie, Ruoyu Chen, Hengchang Liu:
Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information. 3571-3577 - Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen:
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data. 3578-3584 - Zengmao Wang, Yuhong Guo, Bo Du:
Matrix completion with Preference Ranking for Top-N Recommendation. 3585-3591 - Kan Wu, Jie Tang, Chenhui Zhang:
Where Have You Been? Inferring Career Trajectory from Academic Social Network. 3592-3598 - Huang Xu, Zhiwen Yu, Bin Guo, Mingfei Teng, Hui Xiong:
Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective. 3599-3605 - Pengfei Xu, Qiguang Miao, Tiange Liu, Xiaojiang Chen, Dingyi Fang:
Line separation from topographic maps using regional color and spatial information. 3606-3612 - Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao:
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces. 3613-3619 - Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang:
Biharmonic Distance Related Centrality for Edges in Weighted Networks. 3620-3626 - Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon:
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization. 3627-3633 - Bing Yu, Haoteng Yin, Zhanxing Zhu:
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. 3634-3640 - Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla:
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference. 3641-3647 - Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang:
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics. 3648-3654 - Hanyuan Zhang, Hao Wu, Weiwei Sun, Baihua Zheng:
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision. 3655-3661 - Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun:
CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering. 3662-3668 - Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong:
NeuRec: On Nonlinear Transformation for Personalized Ranking. 3669-3675 - Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen:
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training. 3676-3682 - Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang:
Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks. 3683-3689 - Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu:
Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network. 3690-3696 - Feng Zheng, Xin Miao, Heng Huang:
Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding. 3697-3703 - Tengfei Zhou, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou:
JUMP: a Jointly Predictor for User Click and Dwell Time. 3704-3710 - Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet A. Orgun, Jia Wu:
A Deep Framework for Cross-Domain and Cross-System Recommendations. 3711-3717 - Yada Zhu, Jianbo Li, Jingrui He, Brian Leo Quanz, Ajay A. Deshpande:
A Local Algorithm for Product Return Prediction in E-Commerce. 3718-3724 - Tao Zhuang, Wenwu Ou, Zhirong Wang:
Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search. 3725-3731 - Ali Zonoozi, Jung-Jae Kim, Xiao-Li Li, Gao Cong:
Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns. 3732-3738
Multidisciplinary Topics and Applications
- Qi-Zhi Cai, Chang Liu, Dawn Song:
Curriculum Adversarial Training. 3740-3747 - Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli:
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction. 3748-3754 - Valeria Fionda, Giuseppe Pirrò:
Fact Checking via Evidence Patterns. 3755-3761 - Chao Gao, Martin Müller, Ryan Hayward:
Three-Head Neural Network Architecture for Monte Carlo Tree Search. 3762-3768 - Amin Ghafouri, Yevgeniy Vorobeychik, Xenofon D. Koutsoukos:
Adversarial Regression for Detecting Attacks in Cyber-Physical Systems. 3769-3775 - Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, Jinye Peng:
Tag-based Weakly-supervised Hashing for Image Retrieval. 3776-3782 - Chen Hajaj, Yevgeniy Vorobeychik:
Adversarial Task Assignment. 3783-3789 - Tianyi Hao, Longbo Huang:
A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks. 3790-3796 - Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan:
Social Media based Simulation Models for Understanding Disease Dynamics. 3797-3804 - Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun:
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. 3805-3811 - Kun Ouyang, Reza Shokri, David S. Rosenblum, Wenzhuo Yang:
A Non-Parametric Generative Model for Human Trajectories. 3812-3817 - Yulong Pei, Jianpeng Zhang, George H. L. Fletcher, Mykola Pechenizkiy:
DyNMF: Role Analytics in Dynamic Social Networks. 3818-3824 - Dilruk Perera, Roger Zimmermann:
LSTM Networks for Online Cross-Network Recommendations. 3825-3833 - Feng Qian, ChengYue Gong, Karishma Sharma, Yan Liu:
Neural User Response Generator: Fake News Detection with Collective User Intelligence. 3834-3840 - Yujie Qian, Jie Tang, Kan Wu:
Weakly Learning to Match Experts in Online Community. 3841-3847 - Ariel Rosenfeld, Oleg Maksimov, Sarit Kraus:
Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation. 3848-3855 - Jadwiga Sosnowska, Oskar Skibski:
Path Evaluation and Centralities in Weighted Graphs - An Axiomatic Approach. 3856-3862 - Sen Su, Li Sun, Zhongbao Zhang, Gen Li, Jielun Qu:
MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation. 3863-3869 - Jing Tang, Yingke Chen, Zixuan Deng, Yanping Xiang, Colin Paul Joy:
A Group-based Approach to Improve Multifactorial Evolutionary Algorithm. 3870-3876 - Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng:
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. 3877-3883 - Pengcheng Wang, Jonathan P. Rowe, Wookhee Min, Bradford W. Mott, James C. Lester:
High-Fidelity Simulated Players for Interactive Narrative Planning. 3884-3890 - Zheng Wang, Mang Ye, Fan Yang, Xiang Bai, Shin'ichi Satoh:
Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification. 3891-3897 - Tomasz Was, Oskar Skibski:
Axiomatization of the PageRank Centrality. 3898-3904 - Chaowei Xiao, Bo Li, Jun-Yan Zhu, Warren He, Mingyan Liu, Dawn Song:
Generating Adversarial Examples with Adversarial Networks. 3905-3911 - Bo Yan, Yiping Liu, Jiamou Liu, Yijin Cai, Hongyi Su, Hong Zheng:
From the Periphery to the Core: Information Brokerage in an Evolving Network. 3912-3918 - Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong:
Representing Urban Functions through Zone Embedding with Human Mobility Patterns. 3919-3925 - Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu:
Sequential Recommender System based on Hierarchical Attention Networks. 3926-3932 - Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin, Tran V. Phuong:
GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning. 3933-3939 - Mengchen Zhao, Zhao Li, Bo An, Haifeng Lu, Yifan Yang, Chen Chu:
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty. 3940-3946 - Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai:
A Brand-level Ranking System with the Customized Attention-GRU Model. 3947-3953
Natural Language Processing
- Reinald Kim Amplayo, Kyungjae Lee, Jinyeong Yeo, Seung-won Hwang:
Translations as Additional Contexts for Sentence Classification. 3955-3961 - Luigi Asprino, Valerio Basile, Paolo Ciancarini, Valentina Presutti:
Empirical Analysis of Foundational Distinctions in Linked Open Data. 3962-3969 - Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi:
Think Globally, Embed Locally - Locally Linear Meta-embedding of Words. 3970-3976 - Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li, Zhihao Liang:
An Encoder-Decoder Framework Translating Natural Language to Database Queries. 3977-3983 - Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan:
Medical Concept Embedding with Time-Aware Attention. 3984-3990 - Hailong Cao, Tiejun Zhao:
Point Set Registration for Unsupervised Bilingual Lexicon Induction. 3991-3997 - Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo:
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. 3998-4004 - Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang:
TreeNet: Learning Sentence Representations with Unconstrained Tree Structure. 4005-4011 - Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin:
Adversarial Active Learning for Sequences Labeling and Generation. 4012-4018 - Mladen Dimovski, Claudiu Musat, Vladimir Ilievski, Andreea Hossmann, Michael Baeriswyl:
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings. 4019-4025 - Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi:
Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification. 4026-4032 - Chaoqun Duan, Lei Cui, Xinchi Chen, Furu Wei, Conghui Zhu, Tiejun Zhao:
Attention-Fused Deep Matching Network for Natural Language Inference. 4033-4040 - Rory Duthie, Katarzyna Budzynska:
A Deep Modular RNN Approach for Ethos Mining. 4041-4047 - Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, Xuanjing Huang:
A Question Type Driven Framework to Diversify Visual Question Generation. 4048-4054 - Stefano Faralli, Irene Finocchi, Simone Paolo Ponzetto, Paola Velardi:
Efficient Pruning of Large Knowledge Graphs. 4055-4063 - Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati:
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning. 4064-4070 - Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu:
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. 4071-4077 - Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu:
Topic-to-Essay Generation with Neural Networks. 4078-4084 - Maxim Grechkin, Hoifung Poon, Bill Howe:
EZLearn: Exploiting Organic Supervision in Automated Data Annotation. 4085-4091 - Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang:
Approximating Word Ranking and Negative Sampling for Word Embedding. 4092-4098 - Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou:
Reinforced Mnemonic Reader for Machine Reading Comprehension. 4099-4106 - Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu:
Improving Entity Recommendation with Search Log and Multi-Task Learning. 4107-4114 - Vladimir Ilievski, Claudiu Musat, Andreea Hossmann, Michael Baeriswyl:
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning. 4115-4121 - Prachi Jain, Shikhar Murty, Mausam, Soumen Chakrabarti:
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference. 4122-4129 - Zixuan Ke, Winston Carlile, Nishant Gurrapadi, Vincent Ng:
Learning to Give Feedback: Modeling Attributes Affecting Argument Persuasiveness in Student Essays. 4130-4136 - Yuquan Le, Zhi-Jie Wang, Zhe Quan, Jiawei He, Bin Yao:
ACV-tree: A New Method for Sentence Similarity Modeling. 4137-4143 - Bing Li, Xiaochun Yang, Bin Wang, Wei Wang, Wei Cui, Xianchao Zhang:
An Adaptive Hierarchical Compositional Model for Phrase Embedding. 4144-4151 - Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, Chengqing Zong:
Multi-modal Sentence Summarization with Modality Attention and Image Filtering. 4152-4158 - Jian Li, Yue Wang, Michael R. Lyu, Irwin King:
Code Completion with Neural Attention and Pointer Networks. 4159-4165 - Jing Li, Aixin Sun, Shafiq R. Joty:
SegBot: A Generic Neural Text Segmentation Model with Pointer Network. 4166-4172 - Juncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu:
Adaboost with Auto-Evaluation for Conversational Models. 4173-4179 - Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou:
Non-translational Alignment for Multi-relational Networks. 4180-4186 - Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui:
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach. 4187-4193 - Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang:
Aspect Term Extraction with History Attention and Selective Transformation. 4194-4200 - Zhongyang Li, Xiao Ding, Ting Liu:
Constructing Narrative Event Evolutionary Graph for Script Event Prediction. 4201-4207 - Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi:
Deep Text Classification Can be Fooled. 4208-4215 - Yuetan Lin, Zhangyang Pang, Donghui Wang, Yueting Zhuang:
Feature Enhancement in Attention for Visual Question Answering. 4216-4222 - Cao Liu, Shizhu He, Kang Liu, Jun Zhao:
Curriculum Learning for Natural Answer Generation. 4223-4229 - Tianyu Liu, Wei Wei, Xiaojun Wan:
Learning to Explain Ambiguous Headlines of Online News. 4230-4236 - Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song:
Jumper: Learning When to Make Classification Decision in Reading. 4237-4243 - Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He:
Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. 4244-4250 - Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren:
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification. 4251-4257 - Yuzhao Mao, Chang Zhou, Xiaojie Wang, Ruifan Li:
Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning. 4258-4264 - Taiki Miyanishi, Junichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe:
Answering Mixed Type Questions about Daily Living Episodes. 4265-4271 - Soham Parikh, Ananya Sai, Preksha Nema, Mitesh M. Khapra:
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions. 4272-4278 - Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu:
Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation. 4279-4285 - Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He:
Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism. 4286-4292 - Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu:
Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification. 4293-4300 - Dinesh Raghu, Surag Nair, Mausam:
Inferring Temporal Knowledge for Near-Periodic Recurrent Events. 4301-4308 - Avik Ray, Yilin Shen, Hongxia Jin:
Learning Out-of-Vocabulary Words in Intelligent Personal Agents. 4309-4315 - Marco Rospocher, Francesco Corcoglioniti:
Joint Posterior Revision of NLP Annotations via Ontological Knowledge. 4316-4322 - Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto:
Interpretable Adversarial Perturbation in Input Embedding Space for Text. 4323-4330 - Jaydeep Sen, Ashish R. Mittal, Diptikalyan Saha, Karthik Sankaranarayanan:
Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems. 4331-4337 - Mingyue Shang, Zhenxin Fu, Nanyun Peng, Yansong Feng, Dongyan Zhao, Rui Yan:
Learning to Converse with Noisy Data: Generation with Calibration. 4338-4344 - Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang:
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling. 4345-4352 - Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu:
Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation. 4353-4360 - Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang:
Toward Diverse Text Generation with Inverse Reinforcement Learning. 4361-4367 - Yan Song, Shuming Shi:
Complementary Learning of Word Embeddings. 4368-4374 - Yan Song, Shuming Shi, Jing Li:
Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks. 4375-4381 - Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan:
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems. 4382-4388 - Sen Su, Ningning Jia, Xiang Cheng, Shuguang Zhu, Ruiping Li:
Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction. 4389-4395 - Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu:
Bootstrapping Entity Alignment with Knowledge Graph Embedding. 4396-4402 - Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Feng-Lin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie:
A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. 4403-4410 - Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou:
Multiway Attention Networks for Modeling Sentence Pairs. 4411-4417 - Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, Rui Yan:
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. 4418-4424 - Yi Tay, Anh Tuan Luu, Siu Cheung Hui:
Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains. 4425-4431 - Xiaowei Tong, Zhenxin Fu, Mingyue Shang, Dongyan Zhao, Rui Yan:
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning. 4432-4438 - Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou:
Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks. 4439-4445 - Ke Wang, Xiaojun Wan:
SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks. 4446-4452 - Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du:
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization. 4453-4460 - Shaolei Wang, Yue Zhang, Wanxiang Che, Ting Liu:
Joint Extraction of Entities and Relations Based on a Novel Graph Scheme. 4461-4467 - Shiyao Wang, Minlie Huang, Zhidong Deng:
Densely Connected CNN with Multi-scale Feature Attention for Text Classification. 4468-4474 - Wenya Wang, Sinno Jialin Pan:
Transition-based Adversarial Network for Cross-lingual Aspect Extraction. 4475-4481 - Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua:
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. 4482-4488 - Rui Xia, Zhenchun Pan, Feng Xu:
Instance Weighting with Applications to Cross-domain Text Classification via Trading off Sample Selection Bias and Variance. 4489-4495 - Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin:
Transformable Convolutional Neural Network for Text Classification. 4496-4502 - Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. 4503-4509 - Hu Xu, Bing Liu, Lei Shu, Philip S. Yu:
Lifelong Domain Word Embedding via Meta-Learning. 4510-4516 - Linli Xu, Wenjun Ouyang, Xiaoying Ren, Yang Wang, Liang Jiang:
Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies. 4517-4524 - Rui Yan, Dongyan Zhao:
Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm. 4525-4531 - Dongdong Yang, Senzhang Wang, Zhoujun Li:
Ensemble Neural Relation Extraction with Adaptive Boosting. 4532-4538 - Xiaopeng Yang, Xiaowen Lin, Shunda Suo, Ming Li:
Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders. 4539-4545 - Kaichun Yao, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu:
Teaching Machines to Ask Questions. 4546-4552 - Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang:
Chinese Poetry Generation with a Working Memory Model. 4553-4559 - Ziqian Zeng, Xin Liu, Yangqiu Song:
Biased Random Walk based Social Regularization for Word Embeddings. 4560-4566 - Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. 4567-4573 - Ning Zhang, Junchi Yan, Yuchen Zhou:
Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning. 4574-4580 - Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin:
Learning Tag Dependencies for Sequence Tagging. 4581-4587 - Yuanxing Zhang, Yangbin Zhang, Kaigui Bian, Xiaoming Li:
Towards Reading Comprehension for Long Documents. 4588-4594 - Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang:
Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network. 4595-4601 - Lujun Zhao, Qi Zhang, Peng Wang, Xiaoyu Liu:
Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation. 4602-4608 - Yang Zhao, Yining Wang, Jiajun Zhang, Chengqing Zong:
Phrase Table as Recommendation Memory for Neural Machine Translation. 4609-4615 - Renjie Zheng, Junkun Chen, Xipeng Qiu:
Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks. 4616-4622 - Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu:
Commonsense Knowledge Aware Conversation Generation with Graph Attention. 4623-4629 - Qianrong Zhou, Xiaojie Wang, Xuan Dong:
Differentiated Attentive Representation Learning for Sentence Classification. 4630-4636
Planning and Scheduling
- Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone:
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers. 4638-4645 - Luciana Arantes, Evripidis Bampis, Alexander V. Kononov, Manthos Letsios, Giorgio Lucarelli, Pierre Sens:
Scheduling under Uncertainty: A Query-based Approach. 4646-4652 - Christer Bäckström, Peter Jonsson, Sebastian Ordyniak:
Novel Structural Parameters for Acyclic Planning Using Tree Embeddings. 4653-4659 - Nikhil Bhargava, Christian J. Muise, Brian Charles Williams:
Variable-Delay Controllability. 4660-4666 - Blai Bonet, Hector Geffner:
Features, Projections, and Representation Change for Generalized Planning. 4667-4673 - Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans:
Planning and Learning with Stochastic Action Sets. 4674-4682 - Alberto Camacho, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith:
LTL Realizability via Safety and Reachability Games. 4683-4691 - Krishnendu Chatterjee, Adrián Elgyütt, Petr Novotný, Owen Rouillé:
Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives. 4692-4699 - Krishnendu Chatterjee, Hongfei Fu, Amir Kafshdar Goharshady, Nastaran Okati:
Computational Approaches for Stochastic Shortest Path on Succinct MDPs. 4700-4707 - Eldan Cohen, J. Christopher Beck:
Local Minima, Heavy Tails, and Search Effort for GBFS. 4708-4714 - Augusto B. Corrêa, André Grahl Pereira, Marcus Ritt:
Analyzing Tie-Breaking Strategies for the A* Algorithm. 4715-4721 - Durga Harish Dayapule, Aswin Raghavan, Prasad Tadepalli, Alan Fern:
Emergency Response Optimization using Online Hybrid Planning. 4722-4728 - Giuseppe De Giacomo, Sasha Rubin:
Automata-Theoretic Foundations of FOND Planning for LTLf and LDLf Goals. 4729-4735 - Mathijs de Weerdt, Michael Albert, Vincent Conitzer, Koos van der Linden:
Complexity of Scheduling Charging in the Smart Grid. 4736-4742 - Argyrios Deligkas, Erez Karpas, Ron Lavi, Rann Smorodinsky:
Traffic Light Scheduling, Value of Time, and Incentives. 4743-4749 - Maximilian Fickert, Daniel Gnad, Jörg Hoffmann:
Unchaining the Power of Partial Delete Relaxation, Part II: Finding Plans with Red-Black State Space Search. 4750-4756 - Chen Fu, Andrea Turrini, Xiaowei Huang, Lei Song, Yuan Feng, Lijun Zhang:
Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems. 4757-4763 - Karel Horák, Branislav Bosanský, Krishnendu Chatterjee:
Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs. 4764-4770 - Joseph Kim, Matthew E. Woicik, Matthew C. Gombolay, Sung-Hyun Son, Julie A. Shah:
Learning to Infer Final Plans in Human Team Planning. 4771-4779 - Sébastien Lê Cong, Sophie Pinchinat, François Schwarzentruber:
Small Undecidable Problems in Epistemic Planning. 4780-4786 - Dongxu Li, Enrico Scala, Patrik Haslum, Sergiy Bogomolov:
Effect-Abstraction Based Relaxation for Linear Numeric Planning. 4787-4793 - Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White:
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains. 4794-4800 - Swetasudha Panda, Yevgeniy Vorobeychik:
Scalable Initial State Interdiction for Factored MDPs. 4801-4807 - Alberto Pozanco, Yolanda E-Martín, Susana Fernández, Daniel Borrajo:
Counterplanning using Goal Recognition and Landmarks. 4808-4814 - Buser Say, Scott Sanner:
Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models. 4815-4821 - Sebastian Schmoll, Matthias Schubert:
Dynamic Resource Routing using Real-Time Dynamic Programming. 4822-4828 - Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati:
Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations. 4829-4836 - Marcel Steinmetz, Jörg Hoffmann:
LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning. 4837-4843 - Álvaro Torralba:
Completeness-Preserving Dominance Techniques for Satisficing Planning. 4844-4851 - William Vega-Brown, Nicholas Roy:
Admissible Abstractions for Near-optimal Task and Motion Planning. 4852-4859 - Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson:
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. 4860-4866 - Shun Zhang, Edmund H. Durfee, Satinder Singh:
Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes. 4867-4873
Robotics
- Umar Asif, Jianbin Tang, Stefan Harrer:
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices. 4875-4882 - Lyujie Chen, Wufan Wang, Jihong Zhu:
Learning Transferable UAV for Forest Visual Perception. 4883-4889 - Sanjiban Choudhury, Siddhartha S. Srinivasa, Sebastian A. Scherer:
Bayesian Active Edge Evaluation on Expensive Graphs. 4890-4897 - Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang:
Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes. 4898-4904 - Jarrett Holtz, Arjun Guha, Joydeep Biswas:
Interactive Robot Transition Repair With SMT. 4905-4911 - Zhang-Wei Hong, Yu-Ming Chen, Hsuan-Kung Yang, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Tsu-Ching Hsiao, Hsin-Wei Hsiao, Sih-Pin Lai, Yueh-Chuan Chang, Chun-Yi Lee:
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation. 4912-4920 - Fahad Islam, Oren Salzman, Maxim Likhachev:
Online, Interactive User Guidance for High-dimensional, Constrained Motion Planning. 4921-4928 - Yueying Kao, Weiming Li, Zairan Wang, Dongqing Zou, Ran He, Qiang Wang, Minsu Ahn, Sunghoon Hong:
An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation. 4929-4935 - Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen:
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following. 4936-4942 - Anahita Mohseni-Kabir, Manuela M. Veloso:
Robot Task Interruption by Learning to Switch Among Multiple Models. 4943-4949 - Faraz Torabi, Garrett Warnell, Peter Stone:
Behavioral Cloning from Observation. 4950-4957 - Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham:
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations. 4958-4964 - Xin Yang, Yuanbo Wang, Yaru Wang, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu:
Active Object Reconstruction Using a Guided View Planner. 4965-4971 - Qian Zhang, Wei Feng, Liang Wan, Fei-Peng Tian, Ping Tan:
Active Recurrence of Lighting Condition for Fine-Grained Change Detection. 4972-4978
Uncertainty in AI
- Tanya Braun, Ralf Möller:
Parameterised Queries and Lifted Query Answering. 4980-4986 - Jinglin Chen, Jian Peng, Qiang Liu:
Efficient Localized Inference for Large Graphical Models. 4987-4993 - Meenal Chhabra, Sanmay Das, Ilya O. Ryzhov:
The Promise and Perils of Myopia in Dynamic Pricing With Censored Information. 4994-5001 - YooJung Choi, Guy Van den Broeck:
On Robust Trimming of Bayesian Network Classifiers. 5002-5009 - Trong Dinh Thac Do, Longbing Cao:
Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation. 5010-5016 - Changying Du, Xingyu Xie, Changde Du, Hao Wang:
Redundancy-resistant Generative Hashing for Image Retrieval. 5017-5023 - Amin Jaber, Jiji Zhang, Elias Bareinboim:
A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams. 5024-5030 - Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle, Kristian Kersting:
Efficient Symbolic Integration for Probabilistic Inference. 5031-5037 - Jiajin Li, Baoxiang Wang, Shengyu Zhang:
Policy Optimization with Second-Order Advantage Information. 5038-5044 - Xiaopeng Li, Zhourong Chen, Nevin L. Zhang:
Building Sparse Deep Feedforward Networks using Tree Receptive Fields. 5045-5051 - Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du:
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach. 5052-5059 - Xiaobai Liu, Donovan Lo, Chau Thuan:
Unsupervised Learning based Jump-Diffusion Process for Object Tracking in Video Surveillance. 5060-5066 - Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste:
Lifted Filtering via Exchangeable Decomposition. 5067-5073 - Radu Marinescu, Rina Dechter, Alexander Ihler:
Stochastic Anytime Search for Bounding Marginal MAP. 5074-5081 - Karthika Mohan, Felix Thömmes, Judea Pearl:
Estimation with Incomplete Data: The Linear Case. 5082-5088 - Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier:
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. 5089-5095 - Sara Rouhani, Tahrima Rahman, Vibhav Gogate:
Algorithms for the Nearest Assignment Problem. 5096-5102 - Andy Shih, Arthur Choi, Adnan Darwiche:
A Symbolic Approach to Explaining Bayesian Network Classifiers. 5103-5111 - Dhanya Sridhar, Jay Pujara, Lise Getoor:
Scalable Probabilistic Causal Structure Discovery. 5112-5118 - Topi Talvitie, Kustaa Kangas, Teppo Mikael Niinimäki, Mikko Koivisto:
A Scalable Scheme for Counting Linear Extensions. 5119-5125 - Wenjuan Wei, Lu Feng, Chunchen Liu:
Mixed Causal Structure Discovery with Application to Prescriptive Pricing. 5126-5134 - Chunlai Zhou, Biao Qin, Xiaoyong Du:
A Savage-style Utility Theory for Belief Functions. 5135-5141
Evolution of the contours of AI
Uncertainty in AI
- Wolfgang Bibel:
On a Scientific Discipline (Once) Named AI. 5143-5149 - Giuseppe Contissa, Francesca Lagioia, Marco Lippi, Hans-Wolfgang Micklitz, Przemyslaw Palka, Giovanni Sartor, Paolo Torroni:
Towards Consumer-Empowering Artificial Intelligence. 5150-5157 - Sébastien Konieczny, Emmanuel Lonca:
Artificial Intelligence Conferences Closeness. 5158-5164 - Lars Kotthoff, Alexandre Fréchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown:
Quantifying Algorithmic Improvements over Time. 5165-5171 - Sandya Mannarswamy, Shourya Roy:
Evolving AI from Research to Real Life - Some Challenges and Suggestions. 5172-5179 - Fernando Martínez-Plumed, Bao Sheng Loe, Peter A. Flach, Seán Ó hÉigeartaigh, Karina Vold, José Hernández-Orallo:
The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI. 5180-5187
Sister Conferences Best Papers
Uncertainty in AI
- Giovanni Amendola, Nicola Leone, Marco Manna:
Finite Controllability of Conjunctive Query Answering with Existential Rules: Two Steps Forward. 5189-5193 - Leila Amgoud, Jonathan Ben-Naim:
Weighted Bipolar Argumentation Graphs: Axioms and Semantics. 5194-5198 - Miguel Araujo, Pedro Manuel Pinto Ribeiro, Christos Faloutsos:
TensorCast: Forecasting Time-Evolving Networks with Contextual Information. 5199-5203 - Nikolay Atanasov, Sean L. Bowman, Kostas Daniilidis, George J. Pappas:
A Unifying View of Geometry, Semantics, and Data Association in SLAM. 5204-5208 - Fahiem Bacchus, Antti Hyttinen, Matti Järvisalo, Paul Saikko:
Reduced Cost Fixing for Maximum Satisfiability. 5209-5213 - Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Information Extraction from Images with Learned Semantic Models. 5214-5218 - Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler:
Learning with Sparse and Biased Feedback for Personal Search. 5219-5223 - Joshua Blinkhorn, Olaf Beyersdorff:
Dynamic Dependency Awareness for QBF. 5224-5228 - Fábio Gagliardi Cozman, Denis Deratani Mauá:
The Finite Model Theory of Bayesian Networks: Descriptive Complexity. 5229-5233 - Shahar Dobzinski, Shahar Ovadia:
Combinatorial Cost Sharing. 5234-5238 - Shayan Doroudi, Philip S. Thomas, Emma Brunskill:
Importance Sampling for Fair Policy Selection. 5239-5243 - Salomé Eriksson, Gabriele Röger, Malte Helmert:
Inductive Certificates of Unsolvability for Domain-Independent Planning. 5244-5248 - Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis:
Reducing Controversy by Connecting Opposing Views. 5249-5253 - David Hallac, Sagar Vare, Stephen P. Boyd, Jure Leskovec:
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data. 5254-5258 - Olaf Hartig, Ian Letter, Jorge Pérez:
A Model of Distributed Query Computation in Client-Server Scenarios on the Semantic Web. 5259-5263 - Ruining He, Wang-Cheng Kang, Julian J. McAuley:
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior. 5264-5268 - Manuel Heusner, Thomas Keller, Malte Helmert:
Search Progress and Potentially Expanded States in Greedy Best-First Search. 5269-5273 - Tom Hope, Joel Chan, Aniket Kittur, Dafna Shahaf:
Accelerating Innovation Through Analogy Mining. 5274-5278 - Shifu Hou, Yanfang Ye, Yangqiu Song, Melih Abdulhayoglu:
Make Evasion Harder: An Intelligent Android Malware Detection System. 5279-5283 - Thorsten Joachims, Adith Swaminathan, Tobias Schnabel:
Unbiased Learning-to-Rank with Biased Feedback. 5284-5288 - C. Maria Keet, Oliver Kutz:
Orchestrating a Network of Mereotopological Theories: An Abridged Report. 5289-5293 - Stephen Kelly, Malcolm I. Heywood:
Emergent Tangled Program Graphs in Multi-Task Learning. 5294-5298 - Rachel Kohler, John Purviance, Kurt Luther:
Geolocating Images with Crowdsourcing and Diagramming. 5299-5303 - Krzysztof Krawiec, Iwo Bladek, Jerry Swan, John H. Drake:
Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs. 5304-5308 - Markus Krötzsch, Maximilian Marx, Ana Ozaki, Veronika Thost:
Attributed Description Logics: Reasoning on Knowledge Graphs. 5309-5313 - Duong Le, Erion Plaku:
Multi-Robot Motion Planning with Dynamics Guided by Multi-Agent Search. 5314-5318 - Jia Liang, Hari Govind V. K., Pascal Poupart, Krzysztof Czarnecki, Vijay Ganesh:
An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate. 5319-5323 - Daniel López Sánchez, Juan M. Corchado, Angélica González Arrieta:
Inhibition of Occluded Facial Regions for Distance-Based Face Recognition. 5324-5328 - Peta Masters, Sebastian Sardiña:
Cost-Based Goal Recognition for the Path-Planning Domain. 5329-5333 - Armin Moharrer, Stratis Ioannidis:
Distributing Frank-Wolfe via Map-Reduce. 5334-5338 - Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski, Paramita Mirza, Gerhard Weikum:
Completeness-aware Rule Learning from Knowledge Graphs. 5339-5343 - Panos Rondogiannis, Ioanna Symeonidou:
The Intricacies of Three-Valued Extensional Semantics for Higher-Order Logic Programs. 5344-5348 - Elliot Salisbury, Ece Kamar, Meredith Ringel Morris:
Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing. 5349-5353 - Matthias Scheutz, Evan A. Krause, Bradley Oosterveld, Tyler M. Frasca, Robert Platt Jr.:
Recursive Spoken Instruction-Based One-Shot Object and Action Learning. 5354-5358 - Daniel Seita, Xinlei Pan, Haoyu Chen, John F. Canny:
An Efficient Minibatch Acceptance Test for Metropolis-Hastings. 5359-5363 - Barry Smyth, Padraig Cunningham:
Marathon Race Planning: A Case-Based Reasoning Approach. 5364-5368 - Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao:
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures. 5369-5373 - Andrew Sutton, Reza Samavi:
Tamper-Proof Privacy Auditing for Artificial Intelligence Systems. 5374-5378 - Miguel Terra-Neves, Inês Lynce, Vasco Manquinho:
Multi-Objective Optimization Through Pareto Minimal Correction Subsets. 5379-5383 - Felipe W. Trevizan, Sylvie Thiébaux, Patrik Haslum:
Operator Counting Heuristics for Probabilistic Planning. 5384-5388 - Thomas Vandal, Evan Kodra, Sangram Ganguly, Andrew R. Michaelis, Ramakrishna R. Nemani, Auroop R. Ganguly:
Generating High Resolution Climate Change Projections through Single Image Super-Resolution: An Abridged Version. 5389-5393 - Martin Wermelinger, Fadri Furrer, Hironori Yoshida, Fabio Gramazio, Matthias Kohler, Roland Siegwart, Marco Hutter:
Greedy Stone Tower Creations with a Robotic Arm. 5394-5398 - Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo:
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. 5399-5403 - Christian Zeyen, Gilbert Müller, Ralph Bergmann:
A Conversational Approach to Process-oriented Case-based Reasoning. 5404-5408 - Xiaoying Zhang, Hong Xie, Junzhou Zhao, John C. S. Lui:
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations. 5409-5413 - Yan Zhu, Makoto Imamura, Daniel Nikovski, Eamonn J. Keogh:
Time Series Chains: A Novel Tool for Time Series Data Mining. 5414-5418
Survey track
Uncertainty in AI
- Stefan Borgwardt, Ismail Ilkan Ceylan, Thomas Lukasiewicz:
Recent Advances in Querying Probabilistic Knowledge Bases. 5420-5426 - Elena Cabrio, Serena Villata:
Five Years of Argument Mining: a Data-driven Analysis. 5427-5433 - Zhengming Ding, Ming Shao, Yun Fu:
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption. 5434-5440 - Tom Everitt, Gary Lea, Marcus Hutter:
AGI Safety Literature Review. 5441-5449 - Martin Gebser, Nicola Leone, Marco Maratea, Simona Perri, Francesco Ricca, Torsten Schaub:
Evaluation Techniques and Systems for Answer Set Programming: a Survey. 5450-5456 - Jose M. Juarez, Susan Craw, J. Ricardo Lopez-Delgado, Manuel Campos:
Maintenance of Case Bases: Current Algorithms after Fifty Years. 5457-5463 - Parisa Kordjamshidi, Dan Roth, Kristian Kersting:
Systems AI: A Declarative Learning Based Programming Perspective. 5464-5471 - Michele Lombardi, Michela Milano:
Boosting Combinatorial Problem Modeling with Machine Learning. 5472-5478 - Jing Lu, Vincent Ng:
Event Coreference Resolution: A Survey of Two Decades of Research. 5479-5486 - Felipe Leno da Silva, Matthew E. Taylor, Anna Helena Reali Costa:
Autonomously Reusing Knowledge in Multiagent Reinforcement Learning. 5487-5493 - Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe:
Stackelberg Security Games: Looking Beyond a Decade of Success. 5494-5501 - Yanan Sui, Masrour Zoghi, Katja Hofmann, Yisong Yue:
Advancements in Dueling Bandits. 5502-5510 - Guohui Xiao, Diego Calvanese, Roman Kontchakov, Domenico Lembo, Antonella Poggi, Riccardo Rosati, Michael Zakharyaschev:
Ontology-Based Data Access: A Survey. 5511-5519 - Rui Yan:
"Chitty-Chitty-Chat Bot": Deep Learning for Conversational AI. 5520-5526 - Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang:
Building Ethics into Artificial Intelligence. 5527-5533 - Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: A Comprehensive Survey. 5534-5541
Journal track
Uncertainty in AI
- Natasha Alechina, Joseph Y. Halpern, Ian A. Kash, Brian Logan:
Incentive-Compatible Mechanisms for Norm Monitoring in Open Multi-Agent Systems (Extended Abstract). 5543-5547 - Hendrik Baier, Mark H. M. Winands:
MCTS-Minimax Hybrids with State Evaluations (Extended Abstract). 5548-5552 - Filippo Bistaffa, Alessandro Farinelli:
A COP Model for Graph-Constrained Coalition Formation (Extended Abstract). 5553-5557 - Piero A. Bonatti, Luigi Sauro:
On the Logical Properties of the Description Logic DL^N (Extended abstract). 5558-5562 - Adi Botea, Davide Bonusi, Pavel Surynek:
Solving Multi-Agent Path Finding on Strongly Biconnected Digraphs (Extended Abstract). 5563-5567 - Loris Bozzato, Thomas Eiter, Luciano Serafini:
Enhancing Context Knowledge Repositories with Justifiable Exceptions (Extended Abstract). 5568-5572 - Marlos C. Machado, Marc G. Bellemare, Erik Talvitie, Joel Veness, Matthew J. Hausknecht, Michael Bowling:
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract). 5573-5577 - Martin Caminada, Claudia Schulz:
On the Equivalence between Assumption-Based Argumentation and Logic Programming (Extended Abstract). 5578-5582 - Marta R. Costa-jussà:
From Feature to Paradigm: Deep Learning in Machine Translation (Extended Abstract). 5583-5587 - Mnacho Echenim, Nicolas Peltier, Sophie Tourret:
Prime Implicate Generation in Equational Logic (extended abstract). 5588-5592 - Thomas Eiter, Antonius Weinzierl:
Preference-Based Inconsistency Management in Multi-Context Systems (Extended Abstract). 5593-5597 - Richard Evans, Edward Grefenstette:
Learning Explanatory Rules from Noisy Data (Extended Abstract). 5598-5602 - Daniel Fiser, Antonín Komenda:
Fact-Alternating Mutex Groups for Classical Planning (Extended Abstract). 5603-5607 - Ian P. Gent, Christopher Jefferson, Peter Nightingale:
Complexity of n-Queens Completion (Extended Abstract). 5608-5611 - Gianluigi Greco, Antonella Guzzo:
Constrained Coalition Formation on Valuation Structures: Formal Framework, Applications, and Islands of Tractability (Extended Abstract). 5612-5616 - Dieuwke Hupkes, Willem H. Zuidema:
Visualisation and 'Diagnostic Classifiers' Reveal how Recurrent and Recursive Neural Networks Process Hierarchical Structure (Extended Abstract). 5617-5621 - Kei Kimura, Kazuhisa Makino:
Linear Satisfiability Preserving Assignments (Extended Abstract). 5622-5626 - Fangfang Liu, Jia-Huai You:
Three-Valued Semantics for Hybrid MKNF Knowledge Bases Revisited (Extended Abstract). 5627-5631 - Amílcar Mata Díaz, Ramón Pino Pérez:
Impossibility in Belief Merging (Extended Abstract). 5632-5636 - Yury Maximov, Massih-Reza Amini, Zaïd Harchaoui:
Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract). 5637-5641 - Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Lightweight Random Indexing for Polylingual Text Classification (Extended Abstract). 5642-5646 - Alejandro Moreo Fernández, Andrea Esuli, Fabrizio Sebastiani:
Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract). 5647-5651 - Spyridon Samothrakis:
Viewpoint: Artificial Intelligence and Labour. 5652-5655 - Simone Villa, Fabio Stella:
Learning Continuous Time Bayesian Networks in Non-stationary Domains. 5656-5660
Early Career
Uncertainty in AI
- Christopher Amato:
Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning. 5662-5666 - Yukino Baba:
Statistical Quality Control for Human Computation and Crowdsourcing. 5667-5671 - Emmanuel Hebrard:
Reasoning about NP-complete Constraints. 5672-5676 - Jia Jia:
Mental Health Computing via Harvesting Social Media Data. 5677-5681 - Xiaojuan Ma:
Towards Human-Engaged AI. 5682-5686 - Cynthia Matuszek:
Grounded Language Learning: Where Robotics and NLP Meet. 5687-5691 - Nina Narodytska:
Formal Analysis of Deep Binarized Neural Networks. 5692-5696 - Roberto Navigli:
Natural Language Understanding: Instructions for (Present and Future) Use. 5697-5702 - Frans A. Oliehoek:
Interactive Learning and Decision Making: Foundations, Insights & Challenges. 5703-5708 - Magdalena Ortiz:
Improving Data Management using Domain Knowledge. 5709-5713 - Nardine Osman:
Partakable Technology. 5714-5718 - Guy Shani:
Advances and Challenges in Privacy Preserving Planning. 5719-5723 - Matthew E. Taylor:
Improving Reinforcement Learning with Human Input. 5724-5728 - Serena Villata:
Artificial Argumentation for Humans. 5729-5733 - William Yeoh:
Towards Improving the Expressivity and Scalability of Distributed Constraint Optimization Problems. 5734-5738 - Yang Yu:
Towards Sample Efficient Reinforcement Learning. 5739-5743 - Xiangliang Zhang:
Mining Streaming and Temporal Data: from Representation to Knowledge. 5744-5748 - Vincent W. Zheng:
Engineering Graph Features via Network Functional Blocks. 5749-5753 - Jun Zhu:
Probabilistic Machine Learning: Models, Algorithms and a Programming Library. 5754-5759
Doctoral Consortium
Uncertainty in AI
- Raoua Abdelkhalek:
Handling Uncertainty in Recommender Systems under the Belief Function Theory. 5761-5762 - Elizabeth Bondi:
AI for Conservation: Aerial Monitoring to Learn and Plan against Illegal Actors. 5763-5764 - Steven James:
Learning Portable Symbolic Representations. 5765-5766 - Elizabeth A. Jensen:
Restricted Communication in Online Multi-Robot Exploration. 5767-5768 - Joseph Kim:
Intelligent Decision Support for Human Team Planning. 5769-5770 - Francesco Leofante:
Optimal Multi-robot Task Planning: from Synthesis to Execution (and Back). 5771-5772 - Chao Li, Yingwu Chen, Patrick De Causmaecker:
Data-driven Onboard Scheduling for an Autonomous Observation Satellite. 5773-5774 - Ding Liu:
Connecting Low-Level Image Processing and High-Level Vision via Deep Learning. 5775-5776 - Marie D. Manner:
Identifying Differences in Social Responsiveness among Preschoolers Interacting with or Watching Social Robots. 5777-5778 - Vinicius Renan de Carvalho, Jaime Simão Sichman:
Multi-Agent Election-Based Hyper-Heuristics. 5779-5780 - Stefan Sarkadi:
Deception. 5781-5782 - Sujoy Sikdar:
Optimal Multi-Attribute Decision Making in Social Choice Problems. 5783-5784 - Kacper Sokol, Peter A. Flach:
Conversational Explanations of Machine Learning Predictions Through Class-contrastive Counterfactual Statements. 5785-5786 - Jirí Svancara:
Bringing Multi-agent Path Finding Closer to Reality. 5787-5788 - Vaibhav V. Unhelkar, Julie A. Shah:
Learning and Communicating the Latent States of Human-Machine Collaboration. 5789-5790 - Mark Valovage:
Machine Learning Approaches to Reduce Electrical Waste and Improve Power Grid Stability. 5791-5792 - Bryan Wilder:
Algorithmic Social Intervention. 5793-5794
Demos
Uncertainty in AI
- Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas:
Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech. 5796-5798 - C. Anantaram, Amit Sangroya, Mrinal Rawat, Aishwarya Chhabra:
Repairing ASR output by Artificial Development and Ontology based Learning. 5799-5801 - Avinash Balakrishnan, Djallel Bouneffouf, Nicholas Mattei, Francesca Rossi:
Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation. 5802-5804 - Gregor Behnke, Marvin R. G. Schiller, Matthias Kraus, Pascal Bercher, Mario Schmautz, Michael Dorna, Wolfgang Minker, Birte Glimm, Susanne Biundo:
Instructing Novice Users on How to Use Tools in DIY Projects. 5805-5807 - Jani Bizjak, Anton Gradisek, Matjaz Gams:
Intelligent Assistant for Elderly. 5808-5810 - François Bodin, Tristan Charrier, Arthur Queffelec, François Schwarzentruber:
Generating Plans for Cooperative Connected UAVs. 5811-5813 - Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe:
Near Real-Time Detection of Poachers from Drones in AirSim. 5814-5816 - Alberto Camacho, Christian J. Muise, Jorge A. Baier, Sheila A. McIlraith:
SynKit: LTL Synthesis as a Service. 5817-5819 - Tathagata Chakraborti, Kshitij P. Fadnis, Kartik Talamadupula, Mishal Dholakia, Biplav Srivastava, Jeffrey O. Kephart, Rachel K. E. Bellamy:
Visualizations for an Explainable Planning Agent. 5820-5822 - Paolo Dragone, Stefano Teso, Andrea Passerini:
Pyconstruct: Constraint Programming Meets Structured Prediction. 5823-5825 - Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan:
TuringBox: An Experimental Platform for the Evaluation of AI Systems. 5826-5828 - Ian Howell, Robert J. Woodward, Berthe Y. Choueiry, Christian Bessiere:
Solving Sudoku with Consistency: A Visual and Interactive Approach. 5829-5831 - Hen-Hsen Huang, Hsin-Hsi Chen:
CISA: Chinese Information Structure Analysis for Scientific Writing with Cross-lingual Adversarial Learning. 5832-5834 - Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis:
Balanced News Using Constrained Bandit-based Personalization. 5835-5837 - Marco Longoni, Diego Carrera, Beatrice Rossi, Pasqualina Fragneto, Marco Pessione, Giacomo Boracchi:
A Wearable Device for Online and Long-Term ECG Monitoring. 5838-5840 - Matteo Luperto, Marta Romeo, Francesca Lunardini, Nicola Basilico, Ray Jones, Angelo Cangelosi, Simona Ferrante, N. Alberto Borghese:
Digitalized Cognitive Assessment mediated by a Virtual Caregiver. 5841-5843 - Tim Meo, Aswin Raghavan, David A. Salter, Alex Tozzo, Amir Tamrakar, Mohamed R. Amer:
Aesop: A Visual Storytelling Platform for Conversational AI. 5844-5846 - Evan Patterson, Ioana Baldini, Aleksandra Mojsilovic, Kush R. Varshney:
Semantic Representation of Data Science Programs. 5847-5849 - Ivan Miguel Pires, Nuno Pombo, Nuno M. Garcia, Francisco Flórez-Revuelta:
Multi-Sensor Mobile Platform for the Recognition of Activities of Daily Living and their Environments based on Artificial Neural Networks. 5850-5852 - Amit Sangroya, C. Anantaram, Pratik Saini, Mrinal Rawat:
Extracting Latent Beliefs and using Epistemic Reasoning to Tailor a Chatbot. 5853-5855 - Rainer Schlosser, Carsten Walther, Martin Boissier, Matthias Uflacker:
Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces. 5856-5858 - François Schwarzentruber:
Hintikka's World: Agents with Higher-order Knowledge. 5859-5861 - David L. Smyth, James Fennell, Sai Abinesh, Nazli B. Karimi, Frank G. Glavin, Ihsan Ullah, Brett Drury, Michael G. Madden:
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation. 5862-5864 - Shirin Sohrabi, Michael Katz, Oktie Hassanzadeh, Octavian Udrea, Mark D. Feblowitz:
IBM Scenario Planning Advisor: Plan Recognition as AI Planning in Practice. 5865-5867 - Kacper Sokol, Peter A. Flach:
Glass-Box: Explaining AI Decisions With Counterfactual Statements Through Conversation With a Voice-enabled Virtual Assistant. 5868-5870 - Akshat Tandon, Kamalakar Karlapalem:
Medusa: Towards Simulating a Multi-Agent Hide-and-Seek Game. 5871-5873 - Julien Velcin, Antoine Gourru, Erwan Giry-Fouquet, Christophe Gravier, Mathieu Roche, Pascal Poncelet:
Readitopics: Make Your Topic Models Readable via Labeling and Browsing. 5874-5876 - Lijun Wei, Derek R. Magee, Vania Dimitrova, Barry Clarke, Heshan Du, Quratul-ain Mahesar, Kareem Al Ammari, Anthony G. Cohn:
Automated Reasoning for City Infrastructure Maintenance Decision Support. 5877-5879 - Graham Wilcock:
Using a Deep Learning Dialogue Research Toolkit in a Multilingual Multidomain Practical Application. 5880-5882 - Dong-Ok Won, Byung-Do Kim, Ho-Jung Kim, Tae-San Eom, Klaus-Robert Müller, Seong-Whan Lee:
Curly: An AI-based Curling Robot Successfully Competing in the Olympic Discipline of Curling. 5883-5885
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-03 20:16 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
