I am a Ph.D. student in Statistics and Data Science at Yale University. My research interests include robustness, computer vision, and out-of-domain generalization.
Our paper: "Does Robustness on ImageNet Transfer to Downstream Tasks?" was accepted to CVPR 2022.
Machel Reid, Yutaro Yamada, Shixiang Shane Gu "Can Wikipedia Help Offline Reinforcement Learning?"
Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum "Support Recovery with Stochastic Gates: Theory and Application for Linear Models"
Yutaro Yamada, Sahand Negahban, Yuval Kluger, Ilker Yildirim "Exploiting 3D Shape Bias towards Robust Vision" , NeurIPS 2021 Workshop SVRHM
Yutaro Yamada*, Ofir Lindenbaum*, Sahand Negahban, Yuval Kluger, "Feature Selection using Stochastic Gates" , ICML 2020.
Uri Shaham, Yutaro Yamada, Sahand Negahban, “Understanding Adversarial Training: Increasing local stability of supervised models through robust optimization”, Neurocomputing, 2018
STG: a python-based feature selection library for neural networks
Funai Overseas Scholarship, 2018
Masayoshi Son Foundation Scholarship, 2019
Research Intern, CyberAgent AI Lab, Tokyo | June 2021 - July 2021
Research Intern, Efficiency and Peformance Team, Facebook Menlo Park | July 2019 - January 2020