87 citations · 115 across the 2 of their papers we have counts for
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cs.LG2021★ 87 cited
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang, Sergey Levine, Chelsea Finn
While deep neural networks can attain good accuracy on in-distribution test points, many applications require robustness even in the face of unexpected perturbations in the input,…
cs.LG2020★ 28 cited
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
Marvin Zhang, Henrik Marklund, Nikita Dhawan +3
A fundamental assumption of most machine learning algorithms is that the training and test data are drawn from the same underlying distribution. However, this assumption is violate…