Seguir
Yutaro Yamada
Yutaro Yamada
Dirección de correo verificada de yale.edu
Título
Citado por
Citado por
Año
Understanding adversarial training: Increasing local stability of supervised models through robust optimization
U Shaham, Y Yamada, S Negahban
Neurocomputing 307, 195-204, 2018
4102018
Defending against adversarial images using basis functions transformations
U Shaham, J Garritano, Y Yamada, E Weinberger, A Cloninger, X Cheng, ...
arXiv preprint arXiv:1803.10840, 2018
532018
Feature selection using stochastic gates
Y Yamada, O Lindenbaum, S Negahban, Y Kluger
International Conference on Machine Learning, 10648-10659, 2020
522020
Can Wikipedia Help Offline Reinforcement Learning?
M Reid, Y Yamada, SS Gu
arXiv preprint arXiv:2201.12122, 2022
122022
Support recovery with stochastic gates: Theory and application for linear models
S Jana, H Li, Y Yamada, O Lindenbaum
arXiv preprint arXiv:2110.15960, 2021
32021
Does Robustness on ImageNet Transfer to Downstream Tasks?
Y Yamada, M Otani
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
22022
Exploiting 3D Shape Bias towards Robust Vision
Y Yamada, Y Kluger, S Negahban, I Yildirim
SVRHM 2021 Workshop@ NeurIPS, 2021
2021
Geon3D: Exploiting 3D Shape Bias towards Building Robust Machine Vision
Y Yamada, Y Kluger, S Negahban, I Yildirim
2021
Transferability of ImageNet Robustness to Downstream Tasks
Y Yamada, M Otani
Geon3D: Benchmarking 3D Shape Bias towards Building Robust Machine Vision
Y Yamada, Y Kluger, S Negahban, I Yildirim
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–10