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2020 – today
- 2024
[j8]Yeon-Ho Jeong, Gyeongman Kim
, Doohyuk Jang, Jaeryong Hwang, Eunho Yang:
SeamsTalk: Seamless Talking Face Generation via Flow-Guided Inpainting. IEEE Access 12: 46678-46689 (2024)- [j7]Hyeongwon Jang, June Yong Yang, Jaeryong Hwang, Eunho Yang:
Time Series Classification With Large Language Models via Linguistic Scaffolding. IEEE Access 12: 170387-170398 (2024) - [c88]JungEun Kim, Hangyul Yoon, Geondo Park, Kyungsu Kim, Eunho Yang:
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images. CVPR 2024: 11353-11364 - [c87]Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim:
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias. ECCV (81) 2024: 341-357 - [c86]Hajin Shim, Changhun Kim, Eunho Yang:
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation. ECCV (31) 2024: 454-471 - [c85]Gyeongman Kim, Doohyuk Jang, Eunho Yang:
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning. EMNLP (Findings) 2024: 6266-6282 - [c84]Hyunjin Seo, Jihun Yun, Eunho Yang:
TEDDY: Trimming Edges with Degree-based Discrimination Strategy. ICLR 2024 - [c83]June Yong Yang, Geondo Park, Joowon Kim, Hyeongwon Jang, Eunho Yang:
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication. ICLR 2024 - [c82]Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang:
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. ICML 2024 - [i67]Hyunjin Seo, Jihun Yun, Eunho Yang:
TEDDY: Trimming Edges with Degree-based Discrimination strategY. CoRR abs/2402.01261 (2024) - [i66]Gyeongman Kim, Doohyuk Jang, Eunho Yang:
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning. CoRR abs/2402.12842 (2024) - [i65]June Yong Yang, Byeongwook Kim, Jeongin Bae, Beomseok Kwon, Gunho Park, Eunho Yang, Se Jung Kwon, Dongsoo Lee:
No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization. CoRR abs/2402.18096 (2024) - [i64]Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim:
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias. CoRR abs/2404.00384 (2024) - [i63]JungEun Kim, Hangyul Yoon, Geondo Park, Kyungsu Kim, Eunho Yang:
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images. CoRR abs/2404.01464 (2024) - [i62]Hyunjin Seo, Taewon Kim, June Yong Yang, Eunho Yang:
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models. CoRR abs/2405.18581 (2024) - [i61]Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang:
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. CoRR abs/2406.00798 (2024) - [i60]Changhun Kim, Taewon Kim, Seungyeon Woo, June Yong Yang, Eunho Yang:
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler. CoRR abs/2407.10784 (2024) - [i59]Jung Hyun Lee, Jeonghoon Kim, June Yong Yang, Se Jung Kwon, Eunho Yang, Kang Min Yoo, Dongsoo Lee:
LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices. CoRR abs/2407.11534 (2024) - [i58]Hajin Shim, Changhun Kim, Eunho Yang:
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation. CoRR abs/2407.16193 (2024) - [i57]Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sungyub Kim, Eunho Yang:
LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding. CoRR abs/2410.03355 (2024) - [i56]Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang:
Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning. CoRR abs/2410.08047 (2024) - [i55]Yoonjeon Kim, Soohyun Ryu, Yeonsung Jung, Hyunkoo Lee, Joowon Kim, June Yong Yang, Jaeryong Hwang, Eunho Yang:
Augmentation-Driven Metric for Balancing Preservation and Modification in Text-Guided Image Editing. CoRR abs/2410.11374 (2024) - [i54]Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang:
REBIND: Enhancing ground-state molecular conformation via force-based graph rewiring. CoRR abs/2410.14696 (2024) - [i53]Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sungyub Kim, Eunho Yang:
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. CoRR abs/2411.00360 (2024) - 2023
- [j6]Youngsung Kim, Yoonsuk Hyun, Jae-Joon Han, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. IEEE Access 11: 146208-146222 (2023) - [j5]Tehrim Yoon, Sumin Shin, Eunho Yang:
Learning Polymorphic Neural ODEs With Time-Evolving Mixture. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 712-721 (2023) - [c81]Hyeonji Hwang, Seongjun Yang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi:
Towards the Practical Utility of Federated Learning in the Medical Domain. CHIL 2023: 163-181 - [c80]Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han:
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. CVPR 2023: 3832-3841 - [c79]Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang:
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding. CVPR 2023: 6091-6100 - [c78]Kyusung Seo, Joonhyung Park, Jaeyun Song, Eunho Yang:
Weavspeech: Data Augmentation Strategy For Automatic Speech Recognition Via Semantic-Aware Weaving. ICASSP 2023: 1-5 - [c77]Joonhyung Park, Hyunjin Seo, Eunho Yang:
PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label. ICCV 2023: 11496-11506 - [c76]Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang:
Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. ICLR 2023 - [c75]Sungyub Kim, Sihwan Park, Kyung-Su Kim, Eunho Yang:
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. ICLR 2023 - [c74]Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang:
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. ICML 2023: 15435-15450 - [c73]Jaeyun Song, Sungyub Kim, Eunho Yang:
RGE: A Repulsive Graph Rectification for Node Classification via Influence. ICML 2023: 32331-32348 - [c72]Changhun Kim, Joonhyung Park, Hajin Shim, Eunho Yang:
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization. INTERSPEECH 2023: 3367-3371 - [c71]Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang:
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. INTERSPEECH 2023: 4339-4343 - [c70]Sungyub Kim, Kyungsu Kim, Eunho Yang:
GEX: A flexible method for approximating influence via Geometric Ensemble. NeurIPS 2023 - [c69]Jihun Yun, Eunho Yang:
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds. NeurIPS 2023 - [i52]Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang:
Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. CoRR abs/2302.13331 (2023) - [i51]Minki Kang, Wooseok Han, Sung Ju Hwang, Eunho Yang:
ZET-Speech: Zero-shot adaptive Emotion-controllable Text-to-Speech Synthesis with Diffusion and Style-based Models. CoRR abs/2305.13831 (2023) - [i50]Changhun Kim, Joonhyung Park, Hajin Shim, Eunho Yang:
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization. CoRR abs/2306.01981 (2023) - [i49]Dongwook Lee, Wonjun Choi, Seohyung Lee, ByungIn Yoo, Eunho Yang, Seongju Hwang:
BackTrack: Robust template update via Backward Tracking of candidate template. CoRR abs/2308.10604 (2023) - [i48]Joonhyung Park, Hyunjin Seo, Eunho Yang:
PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label. CoRR abs/2309.16936 (2023) - [i47]Minki Kang, Wooseok Han, Eunho Yang:
Face-StyleSpeech: Improved Face-to-Voice latent mapping for Natural Zero-shot Speech Synthesis from a Face Image. CoRR abs/2311.05844 (2023) - 2022
- [j4]Youngbum Hur, Eunho Yang, Sung Ju Hwang:
A Simple Framework for Robust Out-of-Distribution Detection. IEEE Access 10: 23086-23097 (2022) - [c68]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI 2022: 7957-7965 - [c67]Joonhyung Park, Hajin Shim, Eunho Yang:
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. AAAI 2022: 7966-7974 - [c66]Jihun Yun, Aurélie C. Lozano, Eunho Yang:
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning. AISTATS 2022: 2574-2606 - [c65]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR 2022 - [c64]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-augmented Prioritized Experience Replay. ICLR 2022 - [c63]Joonhyung Park, Jaeyun Song, Eunho Yang:
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification. ICLR 2022 - [c62]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. ICLR 2022 - [c61]Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang:
Set Based Stochastic Subsampling. ICML 2022: 619-638 - [c60]Jaeyun Song, Joonhyung Park, Eunho Yang:
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. ICML 2022: 20369-20383 - [c59]Juhyuk Lee, Min-Joong Lee, June Yong Yang, Eunho Yang:
Does it Really Generalize Well on Unseen Data? Systematic Evaluation of Relational Triple Extraction Methods. NAACL-HLT 2022: 3849-3858 - [i46]Jaeyun Song, Joonhyung Park, Eunho Yang:
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. CoRR abs/2206.12917 (2022) - [i45]Seongjun Yang, Hyeonji Hwang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi:
Towards the Practical Utility of Federated Learning in the Medical Domain. CoRR abs/2207.03075 (2022) - [i44]Sungyub Kim, Sihwan Park, Kyungsu Kim, Eunho Yang:
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. CoRR abs/2209.15208 (2022) - [i43]Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang:
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding. CoRR abs/2212.02802 (2022) - 2021
- [j3]Kyungsu Kim, Jung Hyun Lee, Eunho Yang:
Compressed Sensing via Measurement-Conditional Generative Models. IEEE Access 9: 155335-155352 (2021) - [c58]Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. AAAI 2021: 531-539 - [c57]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. AAAI 2021: 9081-9091 - [c56]Jaeyun Song, Hajin Shim, Eunho Yang:
Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR. ASRU 2021: 441-448 - [c55]Geondo Park, Gyeongman Kim, Eunho Yang:
Distilling Linguistic Context for Language Model Compression. EMNLP (1) 2021: 364-378 - [c54]Jaeyun Song, Hajin Shim, Eunho Yang:
Mutually-Constrained Monotonic Multihead Attention for Online ASR. ICASSP 2021: 6508-6512 - [c53]Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang:
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. ICCV 2021: 5350-5359 - [c52]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. ICLR 2021 - [c51]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. ICLR 2021 - [c50]Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. ICLR 2021 - [c49]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. ICML 2021: 7748-7759 - [c48]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Weighted Inter-client Transfer. ICML 2021: 12073-12086 - [c47]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. IJCAI 2021: 2673-2679 - [c46]Ho-Gyeong Kim, Min-Joong Lee, Hoshik Lee, Tae Gyoon Kang, Jihyun Lee, Eunho Yang, Sung Ju Hwang:
Multi-Domain Knowledge Distillation via Uncertainty-Matching for End-to-End ASR Models. Interspeech 2021: 2531-2535 - [c45]Jihun Yun, Aurélie C. Lozano, Eunho Yang:
Adaptive Proximal Gradient Methods for Structured Neural Networks. NeurIPS 2021: 24365-24378 - [c44]Youngkyu Hong, Eunho Yang:
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning. NeurIPS 2021: 26449-26461 - [i42]Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Model-Augmented Q-learning. CoRR abs/2102.03866 (2021) - [i41]Jaeyun Song, Hajin Shim, Eunho Yang:
Mutually-Constrained Monotonic Multihead Attention for Online ASR. CoRR abs/2103.14302 (2021) - [i40]Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Sung Ju Hwang, Eunho Yang, Jinwoo Shin:
RetCL: A Selection-based Approach for Retrosynthesis via Contrastive Learning. CoRR abs/2105.00795 (2021) - [i39]Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang:
Online Coreset Selection for Rehearsal-based Continual Learning. CoRR abs/2106.01085 (2021) - [i38]Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang:
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. CoRR abs/2106.03153 (2021) - [i37]Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang:
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. CoRR abs/2107.00233 (2021) - [i36]Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang:
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. CoRR abs/2109.02100 (2021) - [i35]Geondo Park, Gyeongman Kim, Eunho Yang:
Distilling Linguistic Context for Language Model Compression. CoRR abs/2109.08359 (2021) - [i34]Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang:
Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR abs/2110.02508 (2021) - [i33]Joonhyung Park, Hajin Shim, Eunho Yang:
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. CoRR abs/2111.05639 (2021) - [i32]Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang:
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. CoRR abs/2112.01021 (2021) - [i31]Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR abs/2112.08796 (2021) - 2020
- [c43]Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare. AAAI 2020: 3649-3657 - [c42]Haebeom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. ICLR 2020 - [c41]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Latent Features for Generalization. ICLR 2020 - [c40]Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang:
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks. ICLR 2020 - [c39]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR 2020 - [c38]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-Effective Interactive Attention Learning with Neural Attention Processes. ICML 2020: 4228-4238 - [c37]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. NeurIPS 2020 - [c36]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. NeurIPS 2020 - [c35]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS 2020 - [c34]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. NeurIPS 2020 - [c33]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping neural processes. NeurIPS 2020 - [c32]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. NeurIPS 2020 - [i30]Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Federated Continual Learning with Adaptive Parameter Communication. CoRR abs/2003.03196 (2020) - [i29]Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang:
Cost-effective Interactive Attention Learning with Neural Attention Processes. CoRR abs/2006.05419 (2020) - [i28]Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR abs/2006.12097 (2020) - [i27]Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR abs/2006.12139 (2020) - [i26]Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR abs/2006.12777 (2020) - [i25]Tuan A. Nguyen, Andreis Bruno, Juho Lee, Eunho Yang, Sung Ju Hwang:
Stochastic Subset Selection. CoRR abs/2006.14222 (2020) - [i24]Kyungsu Kim, Jung Hyun Lee, Eunho Yang:
Compressed Sensing via Measurement-Conditional Generative Models. CoRR abs/2007.00873 (2020) - [i23]Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR abs/2007.07358 (2020) - [i22]Jihun Yun, Aurélie C. Lozano, Eunho Yang:
A General Family of Stochastic Proximal Gradient Methods for Deep Learning. CoRR abs/2007.07484 (2020) - [i21]Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning. CoRR abs/2007.08844 (2020) - [i20]In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin:
Time-Reversal Symmetric ODE Network. CoRR abs/2007.11362 (2020) - [i19]Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang:
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR abs/2007.12020 (2020) - [i18]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. CoRR abs/2008.02953 (2020) - [i17]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping Neural Processes. CoRR abs/2008.02956 (2020) - [i16]Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang:
Attribution Preservation in Network Compression for Reliable Network Interpretation. CoRR abs/2010.15054 (2020)
2010 – 2019
- 2019
- [c31]Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang:
Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning. ICLR (Poster) 2019 - [c30]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. ICML 2019: 5052-5061 - [c29]Jihun Yun, Peng Zheng, Eunho Yang, Aurélie C. Lozano, Aleksandr Y. Aravkin:
Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning. ICML 2019: 7242-7251 - [i15]Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
ORACLE: Order Robust Adaptive Continual LEarning. CoRR abs/1902.09432 (2019) - [i14]Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin:
Spectral Approximate Inference. CoRR abs/1905.05348 (2019) - [i13]Jihun Yun, Aurélie C. Lozano, Eunho Yang:
Stochastic Gradient Methods with Block Diagonal Matrix Adaptation. CoRR abs/1905.10757 (2019) - [i12]Haebeom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang:
Meta Dropout: Learning to Perturb Features for Generalization. CoRR abs/1905.12914 (2019) - [i11]Donghyun Na, Haebeom Lee, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang:
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks. CoRR abs/1905.12917 (2019) - [i10]Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang:
Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. CoRR abs/1906.00150 (2019) - [i9]Sungyub Kim, Yongsu Baek, Sung Ju Hwang, Eunho Yang:
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck. CoRR abs/1906.03118 (2019) - 2018
- [c28]Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. ICLR (Poster) 2018 - [c27]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. ICML 2018: 2962-2970 - [c26]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. NeurIPS 2018: 917-926 - [c25]Haebeom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Variational Softmax. NeurIPS 2018: 927-937 - [c24]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding. NeurIPS 2018: 1375-1385 - [i8]Jay Heo, Haebeom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang:
Uncertainty-Aware Attention for Reliable Interpretation and Prediction. CoRR abs/1805.09653 (2018) - [i7]Juho Lee, Saehoon Kim, Jaehong Yoon, Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Adaptive Network Sparsification via Dependent Variational Beta-Bernoulli Dropout. CoRR abs/1805.10896 (2018) - [i6]Ingyo Chung, Saehoon Kim, Juho Lee, Sung Ju Hwang, Eunho Yang:
Mixed Effect Composite RNN-GP: A Personalized and Reliable Prediction Model for Healthcare. CoRR abs/1806.01551 (2018) - 2017
- [c23]Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar:
Ordinal Graphical Models: A Tale of Two Approaches. ICML 2017: 3260-3269 - [c22]Eunho Yang, Aurélie C. Lozano:
Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity. ICML 2017: 3911-3920 - [c21]Meghana Kshirsagar, Eunho Yang, Aurélie C. Lozano:
Learning Task Clusters via Sparsity Grouped Multitask Learning. ECML/PKDD (2) 2017: 673-689 - [i5]Sejun Park, Eunho Yang, Jinwoo Shin:
Sequential Local Learning for Latent Graphical Models. CoRR abs/1703.04082 (2017) - [i4]Haebeom Lee, Eunho Yang, Sung Ju Hwang:
Deep Asymmetric Multi-task Feature Learning. CoRR abs/1708.00260 (2017) - [i3]Jeongtae Lee, Jaehong Yoon, Eunho Yang, Sung Ju Hwang:
Lifelong Learning with Dynamically Expandable Networks. CoRR abs/1708.01547 (2017) - [i2]Hajin Shim, Sung Ju Hwang, Eunho Yang:
Why Pay More When You Can Pay Less: A Joint Learning Framework for Active Feature Acquisition and Classification. CoRR abs/1709.05964 (2017) - [i1]Haebeom Lee, Juho Lee, Eunho Yang, Sung Ju Hwang:
DropMax: Adaptive Stochastic Softmax. CoRR abs/1712.07834 (2017) - 2016
- [j2]Ying-Wooi Wan, Genevera I. Allen, Yulia Baker, Eunho Yang, Pradeep Ravikumar, Matthew Anderson, Zhandong Liu:
XMRF: an R package to fit Markov Networks to high-throughput genetics data. BMC Syst. Biol. 10(S-3): 69 (2016) - [c20]Giwoong Lee, Eunho Yang, Sung Ju Hwang:
Asymmetric Multi-task Learning based on Task Relatedness and Confidence. ICML 2016: 230-238 - 2015
- [j1]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical models via univariate exponential family distributions. J. Mach. Learn. Res. 16: 3813-3847 (2015) - [c19]Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar:
Closed-form Estimators for High-dimensional Generalized Linear Models. NIPS 2015: 586-594 - [c18]Eunho Yang, Aurélie C. Lozano:
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso. NIPS 2015: 2602-2610 - 2014
- [c17]Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Mixed Graphical Models via Exponential Families. AISTATS 2014: 1042-1050 - [c16]Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar:
Elementary Estimators for High-Dimensional Linear Regression. ICML 2014: 388-396 - [c15]Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar:
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments. ICML 2014: 397-405 - [c14]Eunho Yang, Aurélie C. Lozano, Pradeep Ravikumar:
Elementary Estimators for Graphical Models. NIPS 2014: 2159-2167 - 2013
- [c13]Eunho Yang, Ambuj Tewari, Pradeep Ravikumar:
On Robust Estimation of High Dimensional Generalized Linear Models. IJCAI 2013: 1834-1840 - [c12]Eunho Yang, Pradeep Ravikumar:
Dirty Statistical Models. NIPS 2013: 611-619 - [c11]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Conditional Random Fields via Univariate Exponential Families. NIPS 2013: 683-691 - [c10]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
On Poisson Graphical Models. NIPS 2013: 1718-1726 - 2012
- [c9]Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu:
Graphical Models via Generalized Linear Models. NIPS 2012: 1367-1375 - [c8]Eunho Yang, Ambuj Tewari, Pradeep Ravikumar:
Perturbation based Large Margin Approach for Ranking. AISTATS 2012: 1358-1366 - 2011
- [c7]Eunho Yang, Pradeep Ravikumar:
On the Use of Variational Inference for Learning Discrete Graphical Model. ICML 2011: 1009-1016 - [c6]Pradeep Ravikumar, Ambuj Tewari, Eunho Yang:
On NDCG Consistency of Listwise Ranking Methods. AISTATS 2011: 618-626
2000 – 2009
- 2009
- [c5]Jimyung Kang, Eunho Yang, Youngjin Park, Soonwoo Lee, Yonghwa Kim, Kwanho Kim:
Selfish retransmission protocol in an IR-UWB system. ICOIN 2009: 1-5 - [c4]Sunglim Lee, Koji Okamura, Eunho Yang:
Tele-conference using advanced tool on future IP. ICOIN 2009: 1-3 - 2008
- [c3]Sunglim Lee, Koji Okamura, Eunho Yang:
The Bandwidth Feasibility Test Method for Ubiquitous Teleconference on Future Internet. ISPA 2008: 790-794 - [c2]Eunho Yang, Jaehyuk Choi, Sunglim Lee:
On selfish behavior using asymmetric carrier sensing in IEEE 802.11 wireless networks. LCN 2008: 527-529 - 2006
- [c1]Eunho Yang, Seong-il Hahm, Seongho Cho, Chong-kwon Kim, Pillwoo Lee:
EIMD: A New Congestion Control for Fast Long-Distance Networks. ICOIN 2006: 379-388
Coauthor Index
[j6] [c71] [i51] [j4] [c68] [c65] [c64] [c62] [c61] [c58] [c57] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [i42] [i40] [i39] [i38] [i37] [i36] [i34] [i31] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [i30] [i29] [i28] [i27] [i26] [i25] [i23] [i21] [i20] [i19] [i18] [i17] [i16] [c31] [i15] [i12] [i11] [i10] [i9] [c28] [c27] [c26] [c25] [c24] [i8] [i7] [i6] [i4] [i3] [i2] [i1] [c20]
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