Inrecentyears, there has been a significant increase of publicly available unstructured data resources for computer vision and NLP tasks.

Neural Information Processing Systems http://nips.cc/

As a consequence, empirical risk minimizers generally perform very poorly in extreme regions. It is the purpose of this paper to develop a general framework for classification in the extremes.

Neural Information Processing Systems http://nips.cc/

First, it requires efficient and flexible parameterisations of layer-wise equivari-ances.