ML Anthology

Yang, Eunho

90 publications

ICLR 2025 Divide and Translate: Compositional First-Order Logic Translation and Verification for Complex Logical Reasoning Hyun Ryu, Gyeongman Kim, Hyemin S. Lee, Eunho Yang
ICCV 2025 Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing Joowon Kim, Ziseok Lee, Donghyeon Cho, Sanghyun Jo, Yeonsung Jung, Kyungsu Kim, Eunho Yang
ICLRW 2025 LANTERN++: Enhancing Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-Regressive Models Sihwan Park, Doohyuk Jang, Sung-Yub Kim, Souvik Kundu, Eunho Yang
ICLR 2025 LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding Doohyuk Jang, Sihwan Park, June Yong Yang, Yeonsung Jung, Jihun Yun, Souvik Kundu, Sung-Yub Kim, Eunho Yang
CVPR 2025 Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang
CVPR 2025 Preserve or Modify? Context-Aware Evaluation for Balancing Preservation and Modification in Text-Guided Image Editing Yoonjeon Kim, Soohyun Ryu, Yeonsung Jung, Hyunkoo Lee, Joowon Kim, June Yong Yang, Jaeryong Hwang, Eunho Yang
ICLR 2025 REBIND: Enhancing Ground-State Molecular Conformation Prediction via Force-Based Graph Rewiring Taewon Kim, Hyunjin Seo, Sungsoo Ahn, Eunho Yang
ICML 2025 TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Hyeongwon Jang, Changhun Kim, Eunho Yang
ICLRW 2025 TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation Hyeongwon Jang, Changhun Kim, Eunho Yang
ICLR 2025 Test-Time Ensemble via Linear Mode Connectivity: A Path to Better Adaptation Byungjai Kim, Chanho Ahn, Wissam J. Baddar, Kikyung Kim, Huijin Lee, Saehyun Ahn, Seungju Han, Sungjoo Suh, Eunho Yang
ICLR 2025 Token-Supervised Value Models for Enhancing Mathematical Problem-Solving Capabilities of Large Language Models Jung Hyun Lee, June Yong Yang, Byeongho Heo, Dongyoon Han, Kyungsu Kim, Eunho Yang, Kang Min Yoo
AAAI 2025 Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-Grouping Strategy Hyunjin Seo, Kyusung Seo, Joonhyung Park, Eunho Yang
NeurIPS 2024 A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective Yeonsung Jung, Jaeyun Song, June Yong Yang, Jin-Hwa Kim, Sung-Yub Kim, Eunho Yang
NeurIPSW 2024 AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler Changhun Kim, Taewon Kim, Seungyeon Woo, June Yong Yang, Eunho Yang
ECCV 2024 CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation Hajin Shim, Changhun Kim, Eunho Yang
CVPR 2024 Data-Efficient Unsupervised Interpolation Without Any Intermediate Frame for 4D Medical Images JungEun Kim, Hangyul Yoon, Geondo Park, Kyungsu Kim, Eunho Yang
ICLR 2024 Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication June Yong Yang, Geondo Park, Joowon Kim, Hyeongwon Jang, Eunho Yang
ICML 2024 PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang
ICLR 2024 TEDDY: Trimming Edges with Degree-Based Discrimination Strategy Hyunjin Seo, Jihun Yun, Eunho Yang
ECCV 2024 TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim
CVPR 2023 BiasAdv: Bias-Adversarial Augmentation for Model Debiasing Jongin Lim, Youngdong Kim, Byungjai Kim, Chanho Ahn, Jinwoo Shin, Eunho Yang, Seungju Han
CVPR 2023 Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding Gyeongman Kim, Hajin Shim, Hyunsu Kim, Yunjey Choi, Junho Kim, Eunho Yang
ICML 2023 Fighting Fire with Fire: Contrastive Debiasing Without Bias-Free Data via Generative Bias-Transformation Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang
NeurIPS 2023 GEX: A Flexible Method for Approximating Influence via Geometric Ensemble SungYub Kim, Kyungsu Kim, Eunho Yang
ICLR 2023 Learning Input-Agnostic Manipulation Directions in StyleGAN with Text Guidance Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang
ICCV 2023 PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-Label Joonhyung Park, Hyunjin Seo, Eunho Yang
ICML 2023 RGE: A Repulsive Graph Rectification for Node Classification via Influence Jaeyun Song, Sungyub Kim, Eunho Yang
NeurIPS 2023 Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds Jihun Yun, Eunho Yang
ICLR 2023 Scale-Invariant Bayesian Neural Networks with Connectivity Tangent Kernel SungYub Kim, Sihwan Park, Kyung-Su Kim, Eunho Yang
CHIL 2023 Towards the Practical Utility of Federated Learning in the Medical Domain Hyeonji Hwang, Seongjun Yang, Daeyoung Kim, Radhika Dua, Jong-Yeup Kim, Eunho Yang, Edward Choi
AISTATS 2022 AdaBlock: SGD with Practical Block Diagonal Matrix Adaptation for Deep Learning Jihun Yun, Aurelie Lozano, Eunho Yang
AAAI 2022 Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation Joonhyung Park, Hajin Shim, Eunho Yang
ICLR 2022 GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification Joonhyung Park, Jaeyun Song, Eunho Yang
ICLR 2022 Model-Augmented Prioritized Experience Replay Youngmin Oh, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
ICLR 2022 Online Coreset Selection for Rehearsal-Based Continual Learning Jaehong Yoon, Divyam Madaan, Eunho Yang, Sung Ju Hwang
ICLR 2022 Online Hyperparameter Meta-Learning with Hypergradient Distillation Hae Beom Lee, Hayeon Lee, JaeWoong Shin, Eunho Yang, Timothy Hospedales, Sung Ju Hwang
AAAI 2022 Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park, June Yong Yang, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
ICML 2022 Set Based Stochastic Subsampling Bruno Andreis, Seanie Lee, A. Tuan Nguyen, Juho Lee, Eunho Yang, Sung Ju Hwang
ICML 2022 TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification Jaeyun Song, Joonhyung Park, Eunho Yang
NeurIPS 2021 Adaptive Proximal Gradient Methods for Structured Neural Networks Jihun Yun, Aurelie C. Lozano, Eunho Yang
AAAI 2021 Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang
ICCV 2021 Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang
ICLR 2021 FedMix: Approximation of Mixup Under Mean Augmented Federated Learning Tehrim Yoon, Sumin Shin, Sung Ju Hwang, Eunho Yang
ICML 2021 Federated Continual Learning with Weighted Inter-Client Transfer Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
ICLR 2021 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning Wonyong Jeong, Jaehong Yoon, Eunho Yang, Sung Ju Hwang
AAAI 2021 GTA: Graph Truncated Attention for Retrosynthesis Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang
ICLR 2021 Learning to Sample with Local and Global Contexts in Experience Replay Buffer Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
ICML 2021 Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Dongchan Min, Dong Bok Lee, Eunho Yang, Sung Ju Hwang
IJCAI 2021 RetCL: A Selection-Based Approach for Retrosynthesis via Contrastive Learning Hankook Lee, Sungsoo Ahn, Seung-Woo Seo, You Young Song, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
NeurIPS 2021 Unbiased Classification Through Bias-Contrastive and Bias-Balanced Learning Youngkyu Hong, Eunho Yang
NeurIPS 2020 Attribution Preservation in Network Compression for Reliable Network Interpretation Geondo Park, June Yong Yang, Sung Ju Hwang, Eunho Yang
NeurIPS 2020 Bootstrapping Neural Processes Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
ICML 2020 Cost-Effective Interactive Attention Learning with Neural Attention Processes Jay Heo, Junhyeon Park, Hyewon Jeong, Kwang Joon Kim, Juho Lee, Eunho Yang, Sung Ju Hwang
AAAI 2020 Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang
NeurIPS 2020 Distribution Aligning Refinery of Pseudo-Label for Imbalanced Semi-Supervised Learning Jaehyung Kim, Youngbum Hur, Sejun Park, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
ICMLW 2020 Federated Continual Learning with Weighted Inter-Client Transfer Jaehong Yoon, Wonyong Jeong, Giwoong Lee, Eunho Yang, Sung Ju Hwang
NeurIPS 2020 Few-Shot Visual Reasoning with Meta-Analogical Contrastive Learning Youngsung Kim, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
ICLR 2020 Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-Distribution Tasks Hae Beom Lee, Hayeon Lee, Donghyun Na, Saehoon Kim, Minseop Park, Eunho Yang, Sung Ju Hwang
ICLR 2020 Meta Dropout: Learning to Perturb Latent Features for Generalization Hae Beom Lee, Taewook Nam, Eunho Yang, Sung Ju Hwang
NeurIPS 2020 Neural Complexity Measures Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
ICLR 2020 Scalable and Order-Robust Continual Learning with Additive Parameter Decomposition Jaehong Yoon, Saehoon Kim, Eunho Yang, Sung Ju Hwang
NeurIPS 2020 Time-Reversal Symmetric ODE Network In Huh, Eunho Yang, Sung Ju Hwang, Jinwoo Shin
ICLR 2020 Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks Joonyoung Yi, Juhyuk Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang
ICLR 2019 Learning to Propagate Labels: Transductive Propagation Network for Few-Shot Learning Yanbin Liu, Juho Lee, Minseop Park, Saehoon Kim, Eunho Yang, Sung Ju Hwang, Yi Yang
ICML 2019 Spectral Approximate Inference Sejun Park, Eunho Yang, Se-Young Yun, Jinwoo Shin
ICML 2019 Trimming the $\ell_1$ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning Jihun Yun, Peng Zheng, Eunho Yang, Aurelie Lozano, Aleksandr Aravkin
ICML 2018 Deep Asymmetric Multi-Task Feature Learning Hae Beom Lee, Eunho Yang, Sung Ju Hwang
NeurIPS 2018 DropMax: Adaptive Variational SoftMax Hae Beom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang
NeurIPS 2018 Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding Hajin Shim, Sung Ju Hwang, Eunho Yang
ICLR 2018 Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang
NeurIPS 2018 Uncertainty-Aware Attention for Reliable Interpretation and Prediction Jay Heo, Hae Beom Lee, Saehoon Kim, Juho Lee, Kwang Joon Kim, Eunho Yang, Sung Ju Hwang
ECML-PKDD 2017 Learning Task Clusters via Sparsity Grouped Multitask Learning Meghana Kshirsagar, Eunho Yang, Aurélie C. Lozano
ICML 2017 Ordinal Graphical Models: A Tale of Two Approaches Arun Sai Suggala, Eunho Yang, Pradeep Ravikumar
ICML 2017 Sparse + Group-Sparse Dirty Models: Statistical Guarantees Without Unreasonable Conditions and a Case for Non-Convexity Eunho Yang, Aurélie C. Lozano
ICML 2016 Asymmetric Multi-Task Learning Based on Task Relatedness and Loss Giwoong Lee, Eunho Yang, Sung Hwang
NeurIPS 2015 Closed-Form Estimators for High-Dimensional Generalized Linear Models Eunho Yang, Aurelie C. Lozano, Pradeep K Ravikumar
JMLR 2015 Graphical Models via Univariate Exponential Family Distributions Eunho Yang, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
NeurIPS 2015 Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso Eunho Yang, Aurelie C. Lozano
NeurIPS 2014 Elementary Estimators for Graphical Models Eunho Yang, Aurelie C. Lozano, Pradeep K Ravikumar
ICML 2014 Elementary Estimators for High-Dimensional Linear Regression Eunho Yang, Aurelie Lozano, Pradeep Ravikumar
ICML 2014 Elementary Estimators for Sparse Covariance Matrices and Other Structured Moments Eunho Yang, Aurelie Lozano, Pradeep Ravikumar
AISTATS 2014 Mixed Graphical Models via Exponential Families Eunho Yang, Yulia Baker, Pradeep Ravikumar, Genevera I. Allen, Zhandong Liu
NeurIPS 2013 Conditional Random Fields via Univariate Exponential Families Eunho Yang, Pradeep K Ravikumar, Genevera I Allen, Zhandong Liu
NeurIPS 2013 Dirty Statistical Models Eunho Yang, Pradeep K Ravikumar
NeurIPS 2013 On Poisson Graphical Models Eunho Yang, Pradeep K Ravikumar, Genevera I Allen, Zhandong Liu
IJCAI 2013 On Robust Estimation of High Dimensional Generalized Linear Models Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
NeurIPS 2012 Graphical Models via Generalized Linear Models Eunho Yang, Genevera Allen, Zhandong Liu, Pradeep K. Ravikumar
AISTATS 2012 Perturbation Based Large Margin Approach for Ranking Eunho Yang, Ambuj Tewari, Pradeep Ravikumar
AISTATS 2011 On NDCG Consistency of Listwise Ranking Methods Pradeep Ravikumar, Ambuj Tewari, Eunho Yang
ICML 2011 On the Use of Variational Inference for Learning Discrete Graphical Model Eunho Yang, Pradeep Ravikumar