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

29 March 2021

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

5 / 5 papers shown

Title
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models Nadarasar Bahavan Sachith Seneviratne Saman K. Halgamuge BDL 45 0 0 11 Mar 2025
PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation Haoyu Xie Changqi Wang Jian-jun Zhao Yang Liu Jun Dan Chong Fu Baigui Sun SSL 32 8 0 28 Feb 2024
Factorizers for Distributed Sparse Block Codes Michael Hersche Aleksandar Terzić G. Karunaratne Jovin Langenegger Angeline Pouget G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi 35 4 0 24 Mar 2023
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations Haoyu Xie Changqi Wang Mingkai Zheng Minjing Dong Shan You Chong Fu Chang Xu SSL 34 14 0 26 Oct 2022
Magnitude-aware Probabilistic Speaker Embeddings Nikita Kuzmin Igor Fedorov A. Sholokhov 19 7 0 28 Feb 2022