Robuta

https://openreview.net/forum?id=TiwPYwg3IRf Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels | OpenReview Prior works have found it beneficial to combine provably noise-robust loss functions e.g., mean absolute error (MAE) with standard categorical loss function... jensen shannon divergencefor learninggeneralizedloss https://openreview.net/forum?id=bKZbWy3DnR A Kernel Two-Sample Test with the Representation Jensen-Shannon Divergence | OpenReview We introduce a novel kernel-based information-theoretic framework for two-sample testing, leveraging the representation Jensen-Shannon divergence (RJSD). RJSD... two sample testjensen shannon divergencewith the