default search action
Eunho Yang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j7]Yeon-Ho Jeong, Gyeongman Kim
, Doohyuk Jang
SeamsTalk: Seamless Talking Face Generation via Flow-Guided Inpainting. IEEE Access 12: 46678-46689 (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 - [i63]Hyunjin Seo, Jihun Yun, Eunho Yang:
TEDDY: Trimming Edges with Degree-based Discrimination strategY. CoRR abs/2402.01261 (2024) - [i62]Gyeongman Kim, Doohyuk Jang, Eunho Yang:
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning. CoRR abs/2402.12842 (2024) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]Hajin Shim, Changhun Kim, Eunho Yang:
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation. CoRR abs/2407.16193 (2024) - [i53]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) - 2023
- [j6]Youngsung Kim
Deep Self-Supervised Diversity Promoting Learning on Hierarchical Hyperspheres for Regularization. IEEE Access 11: 146208-146222 (2023) - [j5]Tehrim Yoon
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
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
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
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
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
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
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
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
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
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]
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.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:32 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: