Balanced Hyperbolic Embeddings Are Natural Out-of-Distribution Detectors

Tejaswi Kasarla, Max van Spengler, Pascal Mettes

Out-of-distribution recognition forms an important and well-studied problem in deep learning, with the goal to filter out samples that do not belong to the distribution on which a…