Web: http://arxiv.org/abs/2201.10460

Jan. 26, 2022, 2:11 a.m. | Thuan Nguyen, Boyang Lyu, Prakash Ishwar, Matthias Scheutz, Shuchin Aeron

cs.LG updates on arXiv.org arxiv.org

Invariance principle-based methods, for example, Invariant Risk Minimization
(IRM), have recently emerged as promising approaches for Domain Generalization
(DG). Despite the promising theory, invariance principle-based approaches fail
in common classification tasks due to the mixture of the true invariant
features and the spurious invariant features. In this paper, we propose a
framework based on the conditional entropy minimization principle to filter out
the spurious invariant features leading to a new algorithm with a better
generalization capability. We theoretically prove that …

arxiv entropy learning

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