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 | 1204 | 2019 |
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace Y Lee, S Choi ICML 2018, 2018 | 411 | 2018 |
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 | 325 | 2023 |
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 | 137 | 2023 |
Diversify and Disambiguate: Learning From Underspecified Data Y Lee, H Yao, C Finn ICLR 2023, 2023 | 78* | 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 | 59 | 2022 |
Bootstrapping Neural Processes J Lee, Y Lee, J Kim, E Yang, SJ Hwang, YW Teh NeurIPS 2020, 2020 | 41 | 2020 |
Diversity Matters When Learning From Ensembles G Nam, J Yoon, Y Lee, J Lee NeurIPS 2021, 2021 | 36 | 2021 |
Set transformer J Lee, Y Lee, J Kim, AR Kosiorek, S Choi, YW Teh International Conference on Machine Learning 4 (8), 2019 | 27 | 2019 |
Deep Amortized Clustering J Lee, Y Lee, YW Teh NeurIPS 2019 Sets and Parts Workshop Oral, 2019 | 17 | 2019 |
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning W Kim, Y Lee NeurIPS 2019, 2019 | 11 | 2019 |
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 | 10 | 2024 |
On Divergence Measures for Bayesian Pseudocoresets B Kim, J Choi, S Lee, Y Lee, JW Ha, J Lee NeurIPS 2022, 2022 | 10 | 2022 |
Neural Complexity Measures Y Lee, J Lee, SJ Hwang, E Yang, S Choi NeurIPS 2020, 2020 | 8 | 2020 |
Conservative Prediction via Data-Driven Confidence Minimization C Choi, F Tajwar, Y Lee, H Yao, A Kumar, C Finn ICLR 2023 workshops: TrustML, ME-FoMo, 2023 | 6 | 2023 |
Discrete Infomax Codes for Supervised Representation Learning Y Lee, W Kim, W Park, S Choi Entropy, 2022 | 5 | 2022 |
Set transformer: A framework for attention-based permutation-invariant neural networks (2018) J Lee, Y Lee, J Kim, AR Kosiorek, S Choi, YW Teh URL https://arxiv. org/abs, 1810 | 5 | 1810 |
Amortized Probabilistic Detection of Communities in Graphs A Pakman, Y Wang, Y Lee, P Basu, J Lee, YW Teh, L Paninski arXiv preprint arXiv:2010.15727, 2020 | 4* | 2020 |
On The Distribution of Penultimate Activations of Classification Networks M Seo, Y Lee, S Kwak UAI 2021, 2021 | 3 | 2021 |
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 | 2 | 2023 |