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Yoonho Lee
Yoonho Lee
PhD Student, Stanford University
Adresse e-mail validée de stanford.edu - Page d'accueil
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Année
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
J Lee, Y Lee, J Kim, A Kosiorek, S Choi, YW Teh
36th International Conference on Machine Learning (ICML 2019), 2019
6892019
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Y Lee, S Choi
35th International Conference on Machine Learning (ICML 2018), 2018
2992018
Diversify and Disambiguate: Learning From Underspecified Data
Y Lee, H Yao, C Finn
11th International Conference on Learning Representations (ICLR 2023), 2022
192022
Deep Amortized Clustering
J Lee, Y Lee, YW Teh
arXiv preprint arXiv:1909.13433, 2019
162019
Bootstrapping Neural Processes
J Lee, Y Lee, J Kim, E Yang, SJ Hwang, YW Teh
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
142020
Diversity Matters When Learning From Ensembles
G Nam, J Yoon, Y Lee, J Lee
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
122021
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
W Kim, Y Lee
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
72019
Neural Complexity Measures
Y Lee, J Lee, SJ Hwang, E Yang, S Choi
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
62020
Surgical fine-tuning improves adaptation to distribution shifts
Y Lee, AS Chen, F Tajwar, A Kumar, H Yao, P Liang, C Finn
11th International Conference on Learning Representations (ICLR 2023), 2022
42022
Discrete Infomax Codes for Supervised Representation Learning
Y Lee, W Kim, W Park, S Choi
Entropy 24 (4), 501, 2022
32022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
H Yao, C Choi, Y Lee, PW Koh, C Finn
36th Conference on Neural Information Processing Systems (NeurIPS 2022 …, 2022
32022
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
3*2020
On Divergence Measures for Bayesian Pseudocoresets
B Kim, J Choi, S Lee, Y Lee, JW Ha, J Lee
36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
2022
Relaxing the Kolmogorov Structure Function for Realistic Computational Constraints
Y Lee, C Finn, S Ermon
2022
On The Distribution of Penultimate Activations of Classification Networks
M Seo, Y Lee, S Kwak
37th Conference on Uncertainty in Artificial Intelligence (UAI 2021), 2021
2021
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