Eunho Yang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 133

Top Venues

CoRR

ICML

ICLR

NeurIPS

Publications

Hyunjin Seo, Taewon Kim, June Yong Yang, Eunho Yang
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models. CoRR (2024)
June Yong Yang, Geondo Park, Joowon Kim, Hyeongwon Jang, Eunho Yang
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication. ICLR (2024)
Hyunjin Seo, Jihun Yun, Eunho Yang
TEDDY: Trimming Edges with Degree-based Discrimination Strategy. ICLR (2024)
Yeon-Ho Jeong, Gyeongman Kim, Doohyuk Jang, Jaeryong Hwang, Eunho Yang
SeamsTalk: Seamless Talking Face Generation via Flow-Guided Inpainting. IEEE Access 12 (2024)
Hyunjin Seo, Jihun Yun, Eunho Yang
TEDDY: Trimming Edges with Degree-based Discrimination strategY. CoRR (2024)
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 (2024)
Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. CoRR (2024)
Hajin Shim, Changhun Kim, Eunho Yang
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation. CoRR (2024)
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 (2024)
JungEun Kim, Hangyul Yoon, Geondo Park, Kyungsu Kim, Eunho Yang
Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images. CoRR (2024)
Gyeongman Kim, Doohyuk Jang, Eunho Yang
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning. CoRR (2024)
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 (2024)
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 (2024)
Joonhyung Park, Hyunjin Seo, Eunho Yang
PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label. CoRR (2023)
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 (2023)
Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang
Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. ICLR (2023)
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)
Sungyub Kim, Kyungsu Kim, Eunho Yang
GEX: A flexible method for approximating influence via Geometric Ensemble. NeurIPS (2023)
Changhun Kim, Joonhyung Park, Hajin Shim, Eunho Yang
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization. CoRR (2023)
Jaeyun Song, Sungyub Kim, Eunho Yang
RGE: A Repulsive Graph Rectification for Node Classification via Influence. ICML (2023)
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)
Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han
BiasAdv: Bias-Adversarial Augmentation for Model Debiasing. CVPR (2023)
Sungyub Kim, Sihwan Park, Kyung-Su Kim, Eunho Yang
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. ICLR (2023)
Jihun Yun, Eunho Yang
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds. NeurIPS (2023)
Dongwook Lee, Wonjun Choi, Seohyung Lee, ByungIn Yoo, Eunho Yang, Seongju Hwang
BackTrack: Robust template update via Backward Tracking of candidate template. CoRR (2023)
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 (2023)
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 (2023)
Changhun Kim, Joonhyung Park, Hajin Shim, Eunho Yang
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization. INTERSPEECH (2023)
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)
Joonhyung Park, Hyunjin Seo, Eunho Yang
PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label. ICCV (2023)
Kyusung Seo, Joonhyung Park, Jaeyun Song, Eunho Yang
Weavspeech: Data Augmentation Strategy For Automatic Speech Recognition Via Semantic-Aware Weaving. ICASSP (2023)
Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang
Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. CoRR (2023)
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)
Tehrim Yoon, Sumin Shin, Eunho Yang
Learning Polymorphic Neural ODEs With Time-Evolving Mixture. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Jihun Yun, Aurélie C. Lozano, Eunho Yang
AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning. AISTATS (2022)
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 (2022)
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)
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
Online Coreset Selection for Rehearsal-based Continual Learning. ICLR (2022)
Jaeyun Song, Joonhyung Park, Eunho Yang
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. CoRR (2022)
Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Model-augmented Prioritized Experience Replay. ICLR (2022)
Sungyub Kim, Sihwan Park, Kyungsu Kim, Eunho Yang
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel. CoRR (2022)
Bruno Andreis, Seanie Lee, Tuan A. Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang
Set Based Stochastic Subsampling. ICML (2022)
Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
Online Hyperparameter Meta-Learning with Hypergradient Distillation. ICLR (2022)
Jaeyun Song, Joonhyung Park, Eunho Yang
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification. ICML (2022)
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 (2022)
Youngbum Hur, Eunho Yang, Sung Ju Hwang
A Simple Framework for Robust Out-of-Distribution Detection. IEEE Access 10 (2022)
Joonhyung Park, Hajin Shim, Eunho Yang
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. AAAI (2022)
Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. AAAI (2022)
Joonhyung Park, Jaeyun Song, Eunho Yang
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification. ICLR (2022)
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)
Kyungsu Kim, Jung Hyun Lee, Eunho Yang
Compressed Sensing via Measurement-Conditional Generative Models. IEEE Access 9 (2021)
Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
Federated Continual Learning with Weighted Inter-client Transfer. ICML (2021)
Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing. CoRR (2021)
Jaeyun Song, Hajin Shim, Eunho Yang
Learning How Long to Wait: Adaptively-Constrained Monotonic Multihead Attention for Streaming ASR. ASRU (2021)
Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning. ICLR (2021)
Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation. CoRR (2021)
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)
Jihun Yun, Aurélie C. Lozano, Eunho Yang
Adaptive Proximal Gradient Methods for Structured Neural Networks. NeurIPS (2021)
Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. CoRR (2021)
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)
Jaeyun Song, Hajin Shim, Eunho Yang
Mutually-Constrained Monotonic Multihead Attention for Online ASR. CoRR (2021)
Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. ICML (2021)
Joonhyung Park, Hajin Shim, Eunho Yang
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation. CoRR (2021)
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 (2021)
Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. AAAI (2021)
Jaeyun Song, Hajin Shim, Eunho Yang
Mutually-Constrained Monotonic Multihead Attention for Online ASR. ICASSP (2021)
Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. ICLR (2021)
Youngkyu Hong, Eunho Yang
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning. NeurIPS (2021)
Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Model-Augmented Q-learning. CoRR (2021)
Geondo Park, Gyeongman Kim, Eunho Yang
Distilling Linguistic Context for Language Model Compression. CoRR (2021)
Geondo Park, Gyeongman Kim, Eunho Yang
Distilling Linguistic Context for Language Model Compression. EMNLP (1) (2021)
Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang
FedMix: Approximation of Mixup under Mean Augmented Federated Learning. CoRR (2021)
Haebeom Lee, Hayeon Lee, Jaewoong Shin, Eunho Yang, Timothy M. Hospedales, Sung Ju Hwang
Online Hyperparameter Meta-Learning with Hypergradient Distillation. CoRR (2021)
Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
Online Coreset Selection for Rehearsal-based Continual Learning. CoRR (2021)
Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. ICCV (2021)
Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation. CoRR (2021)
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)
Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang
Attribution Preservation in Network Compression for Reliable Network Interpretation. CoRR (2020)
Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang
Attribution Preservation in Network Compression for Reliable Network Interpretation. NeurIPS (2020)
Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning. NeurIPS (2020)
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)
Kyung-Su Kim, Aurélie C. Lozano, Eunho Yang
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks. CoRR (2020)
Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
Bootstrapping neural processes. NeurIPS (2020)
Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. CoRR (2020)
Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition. ICLR (2020)
Tuan A. Nguyen, Bruno Andreis, Juho Lee, Eunho Yang, Sung Ju Hwang
Stochastic Subset Selection. CoRR (2020)
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)
In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
Time-Reversal Symmetric ODE Network. NeurIPS (2020)
Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Learning to Sample with Local and Global Contexts in Experience Replay Buffer. CoRR (2020)
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 (2020)
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 (2020)
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)
In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
Time-Reversal Symmetric ODE Network. CoRR (2020)
Kyung-Su Kim, Jung Hyun Lee, Eunho Yang
Compressed Sensing via Measurement-Conditional Generative Models. CoRR (2020)
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)
Minyoung Song, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
Rapid Structural Pruning of Neural Networks with Set-based Task-Adaptive Meta-Pruning. CoRR (2020)
Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
Federated Semi-Supervised Learning with Inter-Client Consistency. CoRR (2020)
Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
Federated Continual Learning with Adaptive Parameter Communication. CoRR (2020)
Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Few-shot Visual Reasoning with Meta-analogical Contrastive Learning. CoRR (2020)
Jihun Yun, Aurelie C. Lozano, Eunho Yang
A General Family of Stochastic Proximal Gradient Methods for Deep Learning. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Eunho Yang