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Yoonho Lee 0001
Person information
- affiliation: Stanford University, CA, USA
- affiliation (former): AITRICS, Seoul, Korea
Other persons with the same name
- Yoonho Lee 0002
— KAIST, Daejeon, Korea
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2020 – today
- 2024
- [j2]Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn:
Conservative Prediction via Data-Driven Confidence Minimization. Trans. Mach. Learn. Res. 2024 (2024) - [c16]Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn:
Calibrating Language Models with Adaptive Temperature Scaling. EMNLP 2024: 18128-18138 - [c15]Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn:
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features. ICLR 2024 - [c14]Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn:
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning. ICLR 2024 - [c13]Yoonho Lee
Clarify: Improving Model Robustness With Natural Language Corrections. UIST 2024: 133:1-133:19 - [i23]Caroline Choi, Yoonho Lee, Annie S. Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn:
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data. CoRR abs/2401.10220 (2024) - [i22]Yoonho Lee, Michelle S. Lam, Helena Vasconcelos, Michael S. Bernstein, Chelsea Finn:
Clarify: Improving Model Robustness With Natural Language Corrections. CoRR abs/2402.03715 (2024) - [i21]Johnathan Xie, Yoonho Lee, Annie S. Chen, Chelsea Finn:
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning. CoRR abs/2402.14789 (2024) - [i20]Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie, Yoonho Lee, Maximilian Du, Chelsea Finn:
Bidirectional Decoding: Improving Action Chunking via Closed-Loop Resampling. CoRR abs/2408.17355 (2024) - [i19]Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn:
Calibrating Language Models with Adaptive Temperature Scaling. CoRR abs/2409.19817 (2024) - 2023
- [c12]Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn:
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. ICLR 2023 - [c11]Yoonho Lee, Huaxiu Yao, Chelsea Finn:
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement. ICLR 2023 - [c10]Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn:
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. ICML 2023: 24950-24962 - [i18]Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D. Manning, Chelsea Finn:
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature. CoRR abs/2301.11305 (2023) - [i17]Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn:
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features. CoRR abs/2302.05441 (2023) - [i16]Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn:
Conservative Prediction via Data-Driven Confidence Minimization. CoRR abs/2306.04974 (2023) - [i15]Annie S. Chen, Yoonho Lee, Amrith Setlur, Sergey Levine, Chelsea Finn:
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts. CoRR abs/2306.11120 (2023) - 2022
- [j1]Yoonho Lee
Discrete Infomax Codes for Supervised Representation Learning. Entropy 24(4): 501 (2022) - [c9]Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha, Juho Lee:
On Divergence Measures for Bayesian Pseudocoresets. NeurIPS 2022 - [c8]Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei Koh, Chelsea Finn:
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time. NeurIPS 2022 - [i14]Yoonho Lee, Huaxiu Yao, Chelsea Finn:
Diversify and Disambiguate: Learning From Underspecified Data. CoRR abs/2202.03418 (2022) - [i13]Balhae Kim, Jungwon Choi, Seanie Lee, Yoonho Lee, Jung-Woo Ha
On Divergence Measures for Bayesian Pseudocoresets. CoRR abs/2210.06205 (2022) - [i12]Yoonho Lee, Annie S. Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, Chelsea Finn:
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts. CoRR abs/2210.11466 (2022) - [i11]Huaxiu Yao, Caroline Choi, Bochuan Cao, Yoonho Lee, Pang Wei Koh, Chelsea Finn:
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time. CoRR abs/2211.14238 (2022) - 2021
- [c7]Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee:
Diversity Matters When Learning From Ensembles. NeurIPS 2021: 8367-8377 - [c6]Minkyo Seo, Yoonho Lee, Suha Kwak:
On the distribution of penultimate activations of classification networks. UAI 2021: 1141-1151 - [i10]Minkyo Seo, Yoonho Lee, Suha Kwak:
On The Distribution of Penultimate Activations of Classification Networks. CoRR abs/2107.01900 (2021) - [i9]Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee:
Diversity Matters When Learning From Ensembles. CoRR abs/2110.14149 (2021) - 2020
- [c5]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. NeurIPS 2020 - [c4]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping neural processes. NeurIPS 2020 - [i8]Yoonho Lee, Juho Lee, Sung Ju Hwang, Eunho Yang, Seungjin Choi:
Neural Complexity Measures. CoRR abs/2008.02953 (2020) - [i7]Juho Lee, Yoonho Lee, Jungtaek Kim, Eunho Yang, Sung Ju Hwang, Yee Whye Teh:
Bootstrapping Neural Processes. CoRR abs/2008.02956 (2020) - [i6]Ari Pakman, Yueqi Wang, Yoonho Lee, Pallab Basu, Juho Lee, Yee Whye Teh, Liam Paninski:
Attentive Clustering Processes. CoRR abs/2010.15727 (2020)
2010 – 2019
- 2019
- [c3]Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks. ICML 2019: 3744-3753 - [c2]Wonjae Kim, Yoonho Lee:
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning. NeurIPS 2019: 6019-6030 - [i5]Yoonho Lee, Wonjae Kim, Seungjin Choi:
Discrete Infomax Codes for Meta-Learning. CoRR abs/1905.11656 (2019) - [i4]Wonjae Kim, Yoonho Lee:
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning. CoRR abs/1905.11666 (2019) - [i3]Juho Lee, Yoonho Lee, Yee Whye Teh:
Deep Amortized Clustering. CoRR abs/1909.13433 (2019) - 2018
- [c1]Yoonho Lee, Seungjin Choi:
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace. ICML 2018: 2933-2942 - [i2]Yoonho Lee, Seungjin Choi:
Meta-Learning with Adaptive Layerwise Metric and Subspace. CoRR abs/1801.05558 (2018) - [i1]Juho Lee, Yoonho Lee, Jungtaek Kim, Adam R. Kosiorek, Seungjin Choi, Yee Whye Teh:
Set Transformer. CoRR abs/1810.00825 (2018)
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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