Yoonho Lee

46 papers A* 16A 1Journal 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
Meta-Harness: End-to-End Optimization of Model Harnesses.
CoRR
Yoonho Lee, Roshen Nair, Qizheng Zhang, Kangwook Lee, Omar Khattab, Chelsea Finn
2025 A* conf
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling.
ICLR
Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Max Du, Chelsea Finn
2025 J jnl
Feedback Descent: Open-Ended Text Optimization via Pairwise Comparison.
CoRR
Yoonho Lee, Joseph Boen, Chelsea Finn
2025 J jnl
RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems.
CoRR
Yuxiao Qu, Anikait Singh, Yoonho Lee, Amrith Setlur, Ruslan Salakhutdinov, Chelsea Finn, Aviral Kumar
2024 J jnl
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data.
CoRR
Caroline Choi, Yoonho Lee, Annie S. Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn
2024 J jnl
Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling.
CoRR
Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Maximilian Du, Chelsea Finn
2024 A* conf
Calibrating Language Models with Adaptive Temperature Scaling.
EMNLP
Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn
2024 J jnl
Calibrating Language Models with Adaptive Temperature Scaling.
CoRR
Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn
2024 A* conf
Clarify: Improving Model Robustness With Natural Language Corrections.
UIST
Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn
2024 J jnl
Clarify: Improving Model Robustness With Natural Language Corrections.
CoRR
Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn
2024 J jnl
Conservative Prediction via Data-Driven Confidence Minimization.
Trans. Mach. Learn. Res.
Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn
2024 A* conf
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features.
ICLR
Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
2024 A* conf
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning.
ICLR
Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn
2024 J jnl
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning.
CoRR
Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn
2024 J jnl
Test-Time Alignment via Hypothesis Reweighting.
CoRR
Yoonho Lee, Jonathan Williams, Henrik Marklund, Archit Sharma, Eric Mitchell, Anikait Singh, Chelsea Finn
2023 J jnl
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts.
CoRR
Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
2023 J jnl
Conservative Prediction via Data-Driven Confidence Minimization.
CoRR
Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn
2023 A* conf
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature.
ICML
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn
2023 J jnl
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature.
CoRR
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn
2023 A* conf
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement.
ICLR
Yoonho Lee, Huaxiu Yao, Chelsea Finn
2023 J jnl
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features.
CoRR
Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn
2023 A* conf
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts.
ICLR
Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
2022 J jnl
Discrete Infomax Codes for Supervised Representation Learning.
Entropy
Yoonho Lee, Wonjae Kim, Wonpyo Park, Seungjin Choi
2022 J jnl
Diversify and Disambiguate: Learning From Underspecified Data.
CoRR
Yoonho Lee, Huaxiu Yao, Chelsea Finn
2022 A* conf
On Divergence Measures for Bayesian Pseudocoresets.
NeurIPS
Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
2022 J jnl
On Divergence Measures for Bayesian Pseudocoresets.
CoRR
Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee
2022 J jnl
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts.
CoRR
Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn
2022 A* conf
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time.
NeurIPS
Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei Koh, Chelsea Finn
2022 J jnl
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time.
CoRR
Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei Koh, Chelsea Finn
2021 A* conf
Diversity Matters When Learning From Ensembles.
NeurIPS
Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee
2021 J jnl
Diversity Matters When Learning From Ensembles.
CoRR
Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee
2021 J jnl
On The Distribution of Penultimate Activations of Classification Networks.
CoRR
Minkyo Seo, Yoonho Lee, Suha Kwak
2021 A conf
On the distribution of penultimate activations of classification networks.
UAI
Minkyo Seo, Yoonho Lee, Suha Kwak
2020 J jnl
Attentive Clustering Processes.
CoRR
Ari Pakman, Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski
2020 J jnl
Bootstrapping Neural Processes.
CoRR
Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
2020 A* conf
Bootstrapping neural processes.
NeurIPS
Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh
2020 A* conf
Neural Complexity Measures.
NeurIPS
Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2020 J jnl
Neural Complexity Measures.
CoRR
Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi
2019 J jnl
Deep Amortized Clustering.
CoRR
Juho Lee, Yoonho Lee, Yee Whye Teh
2019 J jnl
Discrete Infomax Codes for Meta-Learning.
CoRR
Yoonho Lee, Wonjae Kim, Seungjin Choi
2019 A* conf
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning.
NeurIPS
Wonjae Kim, Yoonho Lee
2019 J jnl
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning.
CoRR
Wonjae Kim, Yoonho Lee
2019 A* conf
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks.
ICML
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh
2018 A* conf
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace.
ICML
Yoonho Lee, Seungjin Choi
2018 J jnl
Meta-Learning with Adaptive Layerwise Metric and Subspace.
CoRR
Yoonho Lee, Seungjin Choi
2018 J jnl
Set Transformer.
CoRR
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh