Gray Learning from Non-IID Data with Out-of-distribution Samples

Zhilin Zhao, Longbing Cao, Chang-Dong Wang

The integrity of training data, even when annotated by experts, is far from guaranteed, especially for non-IID datasets comprising both in- and out-of-distribution samples. In an i…