Lee, Yoonho

33 publications

ICLR 2025 Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn

ICLRW 2025 Capturing Functional Context of Genetic Pathways Through Hyperedge Disentanglement Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park

NeurIPS 2025 Disentangling Hyperedges Through the Lens of Category Theory Yoonho Lee, Junseok Lee, Sangwoo Seo, Sungwon Kim, Yeongmin Kim, Chanyoung Park

ICLR 2025 Subgraph Federated Learning for Local Generalization Sungwon Kim, Yoonho Lee, Yunhak Oh, Namkyeong Lee, Sukwon Yun, Junseok Lee, Sein Kim, Carl Yang, Chanyoung Park

ICMLW 2024 Amortized Probabilistic Detection of Communities in Graphs Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski, Ari Pakman

ICLRW 2024 Calibrating Language Models with Adaptive Temperature Scaling Johnathan Xie, Annie S Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn

TMLR 2024 Conservative Prediction via Data-Driven Confidence Minimization Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

ICLR 2024 Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features Annie S Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn

ICLR 2024 Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning Johnathan Wenjia Xie, Yoonho Lee, Annie S Chen, Chelsea Finn

NeurIPSW 2023 AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data Caroline Choi, Yoonho Lee, Annie S Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn

NeurIPSW 2023 Confidence-Based Model Selection: When to Take Shortcuts in Spurious Settings Annie S Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn

ICLRW 2023 Conservative Prediction via Transductive Confidence Minimization Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn

ICML 2023 DetectGPT: Zero-Shot Machine-Generated Text Detection Using Probability Curvature Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, Chelsea Finn

ICLR 2023 Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement Yoonho Lee, Huaxiu Yao, Chelsea Finn

NeurIPSW 2023 Interactive Model Correction with Natural Language Yoonho Lee, Michelle Lam, Helena Vasconcelos, Michael Bernstein, Chelsea Finn

NeurIPSW 2023 Interactive Model Correction with Natural Language Yoonho Lee, Michelle Lam, Helena Vasconcelos, Michael Bernstein, Chelsea Finn

ICLRW 2023 Project with Source, Probe with Target: Extracting Useful Features for Adaptation to Distribution Shifts Annie S Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn

ICLR 2023 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

ICMLW 2022 Diversify and Disambiguate: Learning from Underspecified Data Yoonho Lee, Huaxiu Yao, Chelsea Finn

NeurIPS 2022 On Divergence Measures for Bayesian Pseudocoresets Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee

NeurIPSW 2022 Relaxing the Kolmogorov Structure Function for Realistic Computational Constraints Yoonho Lee, Chelsea Finn, Stefano Ermon

NeurIPSW 2022 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

NeurIPSW 2022 Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee, Annie S Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn

NeurIPS 2022 Wild-Time: A Benchmark of In-the-Wild Distribution Shift over Time Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei W Koh, Chelsea Finn

ICMLW 2022 Wild-Time: A Benchmark of In-the-Wild Distribution Shift over Time Huaxiu Yao, Caroline Choi, Yoonho Lee, Pang Wei Koh, Chelsea Finn

NeurIPS 2021 Diversity Matters When Learning from Ensembles Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee

UAI 2021 On the Distribution of Penultimate Activations of Classification Networks Minkyo Seo, Yoonho Lee, Suha Kwak

NeurIPS 2020 Bootstrapping Neural Processes Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh

ICLR 2020 Deep Amortized Clustering Juho Lee, Yoonho Lee, Yee Whye Teh

NeurIPS 2020 Neural Complexity Measures Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi

NeurIPS 2019 Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning Wonjae Kim, Yoonho Lee

ICML 2019 Set Transformer: A Framework for Attention-Based Permutation-Invariant Neural Networks Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, Yee Whye Teh

ICML 2018 Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Yoonho Lee, Seungjin Choi