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2020 – today
- 2024
[c33]Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia:
Instruct-Imagen: Image Generation with Multi-modal Instruction. CVPR 2024: 4754-4763- [c32]Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut:
On Scaling Up a Multilingual Vision and Language Model. CVPR 2024: 14432-14444 - [c31]Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen:
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. ECCV (87) 2024: 387-404 - [c30]Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang:
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. ICML 2024 - [i46]Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia:
Instruct-Imagen: Image Generation with Multi-modal Instruction. CoRR abs/2401.01952 (2024) - [i45]Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang:
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. CoRR abs/2403.19651 (2024) - [i44]Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu:
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR abs/2406.13121 (2024) - [i43]Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg:
Imagen 3. CoRR abs/2408.07009 (2024) - [i42]Jiacheng Chen, Tianhao Liang, Sherman Siu, Zhengqing Wang, Kai Wang, Yubo Wang, Yuansheng Ni, Wang Zhu, Ziyan Jiang, Bohan Lyu, Dongfu Jiang, Xuan He, Yuan Liu, Hexiang Hu, Xiang Yue, Wenhu Chen:
MEGA-Bench: Scaling Multimodal Evaluation to over 500 Real-World Tasks. CoRR abs/2410.10563 (2024) - [i41]Hsin-Ping Huang, Xinyi Wang, Yonatan Bitton, Hagai Taitelbaum, Gaurav Singh Tomar, Ming-Wei Chang, Xuhui Jia, Kelvin C. K. Chan, Hexiang Hu, Yu-Chuan Su, Ming-Hsuan Yang:
KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities. CoRR abs/2410.11824 (2024) - [i40]Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong:
OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities. CoRR abs/2410.12219 (2024) - 2023
- [j3]Hexiang Hu
, Ozan Sener, Fei Sha, Vladlen Koltun:
Drinking From a Firehose: Continual Learning With Web-Scale Natural Language. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5684-5696 (2023) - [c29]Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang:
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? EMNLP 2023: 14948-14968 - [c28]Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang:
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. ICCV 2023: 12031-12041 - [c27]Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut:
PreSTU: Pre-Training for Scene-Text Understanding. ICCV 2023: 15224-15234 - [c26]Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen:
Re-Imagen: Retrieval-Augmented Text-to-Image Generator. ICLR 2023 - [c25]Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova:
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. ICML 2023: 18893-18912 - [c24]Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen:
Subject-driven Text-to-Image Generation via Apprenticeship Learning. NeurIPS 2023 - [c23]Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova:
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. NeurIPS 2023 - [i39]Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang:
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. CoRR abs/2302.11154 (2023) - [i38]Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang:
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? CoRR abs/2302.11713 (2023) - [i37]Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen:
Subject-driven Text-to-Image Generation via Apprenticeship Learning. CoRR abs/2304.00186 (2023) - [i36]Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut:
PaLI-X: On Scaling up a Multilingual Vision and Language Model. CoRR abs/2305.18565 (2023) - [i35]Peter Shaw, Mandar Joshi, James Cohan, Jonathan Berant, Panupong Pasupat, Hexiang Hu, Urvashi Khandelwal, Kenton Lee, Kristina Toutanova:
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces. CoRR abs/2306.00245 (2023) - [i34]Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen:
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. CoRR abs/2311.17136 (2023) - 2022
- [c22]Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen:
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. EMNLP 2022: 5558-5570 - [i33]Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut:
PreSTU: Pre-Training for Scene-Text Understanding. CoRR abs/2209.05534 (2022) - [i32]Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen:
Re-Imagen: Retrieval-Augmented Text-to-Image Generator. CoRR abs/2209.14491 (2022) - [i31]Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen:
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. CoRR abs/2210.02928 (2022) - [i30]Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova:
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. CoRR abs/2210.03347 (2022) - 2021
- [j2]Han-Jia Ye, Hexiang Hu, De-Chuan Zhan:
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning. Int. J. Comput. Vis. 129(6): 1930-1953 (2021) - [c21]Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang:
Learning the Best Pooling Strategy for Visual Semantic Embedding. CVPR 2021: 15789-15798 - [c20]Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha:
Visually Grounded Concept Composition. EMNLP (Findings) 2021: 201-215 - [c19]Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha:
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? EMNLP (1) 2021: 2180-2188 - [c18]Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. ICCV 2021: 407-417 - [c17]Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. NeurIPS 2021: 2529-2542 - [i29]Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. CoRR abs/2102.08884 (2021) - [i28]Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao:
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation. CoRR abs/2107.02170 (2021) - [i27]Linlu Qiu, Hexiang Hu, Bowen Zhang, Peter Shaw, Fei Sha:
Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? CoRR abs/2109.12243 (2021) - [i26]Bowen Zhang, Hexiang Hu, Linlu Qiu, Peter Shaw, Fei Sha:
Visually Grounded Concept Composition. CoRR abs/2109.14115 (2021) - 2020
- [j1]Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Structured Label Inference for Visual Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1257-1271 (2020) - [c16]Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha:
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. ACL 2020: 2539-2556 - [c15]Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha:
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions. CVPR 2020: 8805-8814 - [c14]Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie, Fei Sha:
Learning to Represent Image and Text with Denotation Graph. EMNLP (1) 2020: 823-839 - [i25]Bowen Zhang, Hexiang Hu, Fei Sha:
Visual Storytelling via Predicting Anchor Word Embeddings in the Stories. CoRR abs/2001.04541 (2020) - [i24]Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie, Fei Sha:
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps. CoRR abs/2005.04625 (2020) - [i23]Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun:
Drinking from a Firehose: Continual Learning with Web-scale Natural Language. CoRR abs/2007.09335 (2020) - [i22]Bowen Zhang, Hexiang Hu, Vihan Jain, Eugene Ie, Fei Sha:
Learning to Represent Image and Text with Denotation Graph. CoRR abs/2010.02949 (2020) - [i21]Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang:
Learning the Best Pooling Strategy for Visual Semantic Embedding. CoRR abs/2011.04305 (2020) - [i20]Bowen Zhang, Hexiang Hu, Joonseok Lee, Ming Zhao, Sheide Chammas, Vihan Jain, Eugene Ie, Fei Sha:
A Hierarchical Multi-Modal Encoder for Moment Localization in Video Corpus. CoRR abs/2011.09046 (2020)
2010 – 2019
- 2019
- [c13]Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston:
Engaging Image Captioning via Personality. CVPR 2019: 12516-12526 - [c12]Hexiang Hu, Ishan Misra, Laurens van der Maaten:
Evaluating Text-to-Image Matching using Binary Image Selection (BISON). ICCV Workshops 2019: 1887-1890 - [c11]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. NeurIPS 2019: 1-12 - [i19]Hexiang Hu, Ishan Misra, Laurens van der Maaten:
Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding. CoRR abs/1901.06595 (2019) - [i18]Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha:
Synthesized Policies for Transfer and Adaptation across Tasks and Environments. CoRR abs/1904.03276 (2019) - [i17]Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha:
Learning Classifier Synthesis for Generalized Few-Shot Learning. CoRR abs/1906.02944 (2019) - [i16]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation. CoRR abs/1910.13616 (2019) - 2018
- [c10]Soravit Changpinyo, Hexiang Hu, Fei Sha:
Multi-Task Learning for Sequence Tagging: An Empirical Study. COLING 2018: 2965-2977 - [c9]Hexiang Hu, Wei-Lun Chao, Fei Sha:
Learning Answer Embeddings for Visual Question Answering. CVPR 2018: 5428-5436 - [c8]Wei-Lun Chao, Hexiang Hu, Fei Sha:
Cross-Dataset Adaptation for Visual Question Answering. CVPR 2018: 5716-5725 - [c7]Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl:
Compressed Video Action Recognition. CVPR 2018: 6026-6035 - [c6]Bowen Zhang, Hexiang Hu, Fei Sha:
Cross-Modal and Hierarchical Modeling of Video and Text. ECCV (13) 2018: 385-401 - [c5]Wei-Lun Chao, Hexiang Hu, Fei Sha:
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets. NAACL-HLT 2018: 431-441 - [c4]Hexiang Hu, Liyu Chen, Boqing Gong, Fei Sha:
Synthesize Policies for Transfer and Adaptation across Tasks and Environments. NeurIPS 2018: 1176-1185 - [i15]Nelson Nauata, Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Structured Label Inference for Visual Understanding. CoRR abs/1802.06459 (2018) - [i14]Hexiang Hu, Wei-Lun Chao, Fei Sha:
Learning Answer Embeddings for Visual Question Answering. CoRR abs/1806.03724 (2018) - [i13]Wei-Lun Chao, Hexiang Hu, Fei Sha:
Cross-Dataset Adaptation for Visual Question Answering. CoRR abs/1806.03726 (2018) - [i12]Soravit Changpinyo, Hexiang Hu, Fei Sha:
Multi-Task Learning for Sequence Tagging: An Empirical Study. CoRR abs/1808.04151 (2018) - [i11]Bowen Zhang, Hexiang Hu, Fei Sha:
Cross-Modal and Hierarchical Modeling of Video and Text. CoRR abs/1810.07212 (2018) - [i10]Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, Jason Weston:
Engaging Image Captioning Via Personality. CoRR abs/1810.10665 (2018) - [i9]Han-Jia Ye, Hexiang Hu, De-Chuan Zhan, Fei Sha:
Learning Embedding Adaptation for Few-Shot Learning. CoRR abs/1812.03664 (2018) - [i8]Risto Vuorio, Shao-Hua Sun, Hexiang Hu, Joseph J. Lim:
Toward Multimodal Model-Agnostic Meta-Learning. CoRR abs/1812.07172 (2018) - 2017
- [c3]Hexiang Hu, Shiyi Lan, Yuning Jiang, Zhimin Cao, Fei Sha:
FastMask: Segment Multi-scale Object Candidates in One Shot. CVPR 2017: 2280-2288 - [i7]Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori:
LabelBank: Revisiting Global Perspectives for Semantic Segmentation. CoRR abs/1703.09891 (2017) - [i6]Wei-Lun Chao, Hexiang Hu, Fei Sha:
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets. CoRR abs/1704.07121 (2017) - [i5]Chao-Yuan Wu, Manzil Zaheer, Hexiang Hu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl:
Compressed Video Action Recognition. CoRR abs/1712.00636 (2017) - 2016
- [c2]Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Learning Structured Inference Neural Networks with Label Relations. CVPR 2016: 2960-2968 - [c1]Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori:
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. CVPR 2016: 4772-4781 - [i4]Hexiang Hu, Zhiwei Deng, Guang-Tong Zhou, Fei Sha, Greg Mori:
Recalling Holistic Information for Semantic Segmentation. CoRR abs/1611.08061 (2016) - [i3]Hexiang Hu, Shiyi Lan, Yuning Jiang, Zhimin Cao, Fei Sha:
FastMask: Segment Object Multi-scale Candidates in One Shot. CoRR abs/1612.08843 (2016) - 2015
- [i2]Zhiwei Deng, Arash Vahdat, Hexiang Hu, Greg Mori:
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition. CoRR abs/1511.04196 (2015) - [i1]Hexiang Hu, Guang-Tong Zhou, Zhiwei Deng, Zicheng Liao, Greg Mori:
Learning Structured Inference Neural Networks with Label Relations. CoRR abs/1511.05616 (2015)
Coauthor Index
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