no code implementations • 29 Sep 2021 • Marvin Mengxin Zhang, Sergey Levine, Chelsea Finn
We study the problem of test time robustification, i. e., using the test input to improve model robustness.
no code implementations • 28 Sep 2020 • Marvin Mengxin Zhang, Henrik Marklund, Nikita Dhawan, Abhishek Gupta, Sergey Levine, Chelsea Finn
A fundamental assumption of most machine learning algorithms is that the training and test data are drawn from the same underlying distribution.