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Yoonho Lee
Yoonho Lee
PhD Student, Stanford University
Bestätigte E-Mail-Adresse bei stanford.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
J Lee, Y Lee, J Kim, A Kosiorek, S Choi, YW Teh
ICML 2019, 2019
14282019
Detectgpt: Zero-shot machine-generated text detection using probability curvature
E Mitchell, Y Lee, A Khazatsky, CD Manning, C Finn
ICML 2023 Long Oral, 2023
5422023
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Y Lee, S Choi
ICML 2018, 2018
4432018
Surgical fine-tuning improves adaptation to distribution shifts
Y Lee*, AS Chen*, F Tajwar, A Kumar, H Yao, P Liang, C Finn
ICLR 2023, 2023
2042023
Diversify and Disambiguate: Learning From Underspecified Data
Y Lee, H Yao, C Finn
ICLR 2023, 2023
96*2023
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
H Yao, C Choi, Y Lee, PW Koh, C Finn
NeurIPS 2022 Datasets Track, 2022
892022
Bootstrapping Neural Processes
J Lee*, Y Lee*, J Kim, E Yang, SJ Hwang, YW Teh
NeurIPS 2020, 2020
512020
Diversity Matters When Learning From Ensembles
G Nam, J Yoon, Y Lee, J Lee
NeurIPS 2021, 2021
462021
Deep Amortized Clustering
J Lee, Y Lee, YW Teh
NeurIPS 2019 Sets and Partitions Workshop Oral, 2019
172019
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
AS Chen*, Y Lee*, A Setlur, S Levine, C Finn
ICLR 2024 Spotlight, 2024
13*2024
On Divergence Measures for Bayesian Pseudocoresets
B Kim, J Choi, S Lee, Y Lee, JW Ha, J Lee
NeurIPS 2022, 2022
112022
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
W Kim, Y Lee
NeurIPS 2019, 2019
112019
Neural Complexity Measures
Y Lee, J Lee, SJ Hwang, E Yang, S Choi
NeurIPS 2020, 2020
92020
Conservative Prediction via Data-Driven Confidence Minimization
C Choi*, F Tajwar*, Y Lee*, H Yao, A Kumar, C Finn
TMLR 2024, 2024
72024
Clarify: Improving Model Robustness With Natural Language Corrections
Y Lee, M Lam, H Vasconcelos, M Bernstein, C Finn
UIST 2024, 2024
6*2024
Discrete Infomax Codes for Supervised Representation Learning
Y Lee, W Kim, W Park, S Choi
Entropy, 2022
52022
Amortized Probabilistic Detection of Communities in Graphs
Y Wang*, Y Lee*, P Basu, J Lee, YW Teh, L Paninski, A Pakman
ICML 2024 Structured Probabilistic Inference & Generative Modeling Workshop, 2024
4*2024
Calibrating Language Models With Adaptive Temperature Scaling
J Xie*, AS Chen*, Y Lee, E Mitchell, C Finn
EMNLP 2024, 2024
32024
AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data
C Choi*, Y Lee*, AS Chen, A Zhou, A Raghunathan, C Finn
NeurIPS 2023 Workshop on Distribution Shifts, 2023
32023
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
AS Chen*, Y Lee*, A Setlur, S Levine, C Finn
NeurIPS 2023 Workshop on Distribution Shifts, 2023
32023
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