29 citations · 63 across the 7 of their papers we have counts for
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cs.LG2023★ 2 cited
Sound Explanation for Trustworthy Machine Learning
Kai Jia, Pasapol Saowakon, Limor Appelbaum +1
We take a formal approach to the explainability problem of machine learning systems. We argue against the practice of interpreting black-box models via attributing scores to input…
cs.LG2023★ 2 cited
Effective Neural Network Regularization With BinMask
Kai Jia, Martin Rinard
regularization of neural networks is a fundamental problem. In addition to regularizing models for better generalizability, regularization also applies to selecting inp…