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Yoonho Lee
Yoonho Lee
PhD Student, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
5132019
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
Y Lee, S Choi
35th International Conference on Machine Learning (ICML 2018), 2018
2642018
Deep Amortized Clustering
J Lee, Y Lee, YW Teh
arXiv preprint arXiv:1909.13433, 2019
142019
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
72020
Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning
W Kim, Y Lee
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
62019
Diversity Matters When Learning From Ensembles
G Nam, J Yoon, Y Lee, J Lee
35th Conference on Neural Information Processing Systems (NeurIPS 2021), 2021
42021
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
Discrete Infomax Codes for Supervised Representation Learning
Y Lee, W Kim, W Park, S Choi
Entropy 24 (4), 501, 2022
22022
Diversify and Disambiguate: Learning From Underspecified Data
Y Lee, H Yao, C Finn
arXiv preprint arXiv:2202.03418, 2022
22022
Neural Complexity Measures
Y Lee, J Lee, SJ Hwang, E Yang, S Choi
34th Conference on Neural Information Processing Systems (NeurIPS 2020), 2020
22020
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
H Yao, C Choi, Y Lee, PW Koh, C Finn
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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Articles 1–12