von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning

Tyler R. Scott, Andrew C. Gallagher, Michael C. Mozer

Recent work has argued that classification losses utilizing softmax cross-entropy are superior not only for fixed-set classification tasks, but also by outperforming losses develop…