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"

27 / 27 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
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation Zhiyi Pan Wei-Nan Gao Shan Liu Ge Li 27 1 0 10 Oct 2024
Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel Contrast Xiaoke Hao Shiyu Liu Chuanbo Feng Ye Zhu 33 0 0 27 Sep 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 34 3 0 09 Aug 2024
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere H. Li Ouyang Cheng Tamaz Amiranashvili Matthew S. Rosen Bjoern H. Menze J. Iglesias 43 0 0 26 May 2024
Dynamic Feature Learning and Matching for Class-Incremental Learning Sunyuan Qiang Yanyan Liang Jun Wan Du Zhang CLL 38 3 0 14 May 2024
Transductive Zero-Shot and Few-Shot CLIP Ségolène Martin Yunshi Huang Fereshteh Shakeri J. Pesquet Ismail Ben Ayed BDL VLM 28 13 0 08 Apr 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition Chaoqun Du Yulin Wang Shiji Song Gao Huang 41 24 0 11 Mar 2024
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling Jianan Fan Dongnan Liu Hang Chang Heng-Chiao Huang Mei Chen Weidong Cai 43 5 0 02 Mar 2024
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 39 8 0 28 Feb 2024
The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation E. Tokarchuk Vlad Niculae 27 2 0 31 Oct 2023
Introspective Deep Metric Learning Cheng-Hao Wang Wenzhao Zheng Zheng Hua Zhu Jie Zhou Jiwen Lu UQCV 30 12 0 11 Sep 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates Michael Kirchhof Bálint Mucsányi Seong Joon Oh Enkelejda Kasneci UQCV 364 13 0 07 Jul 2023
Geometric Autoencoders -- What You See is What You Decode Philipp Nazari Sebastian Damrich Fred Hamprecht 30 12 0 30 Jun 2023
Variational Classification S. Dhuliawala Mrinmaya Sachan Carl Allen BDL 14 5 0 17 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang Fan Liu Delong Chen Jun Zhou 17 6 0 30 Apr 2023
Factorizers for Distributed Sparse Block Codes Michael Hersche Aleksandar Terzić G. Karunaratne Jovin Langenegger Angeline Pouget G. Cherubini Luca Benini Abu Sebastian Abbas Rahimi 39 4 0 24 Mar 2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs Michael Kirchhof Enkelejda Kasneci Seong Joon Oh UQCV 355 19 0 06 Feb 2023
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better? Tyler R. Scott Ting Liu Michael C. Mozer Andrew C. Gallagher CVBM FedML 26 1 0 09 Nov 2022
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations Haoyu Xie Changqi Wang Mingkai Zheng Minjing Dong Shan You Chong Fu Chang Xu SSL 39 14 0 26 Oct 2022
ScaleFace: Uncertainty-aware Deep Metric Learning Roma Kail Kirill Fedyanin Nikita Muravev Alexey Zaytsev Maxim Panov CVBM UQCV 22 5 0 05 Sep 2022
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning Michael Kirchhof Karsten Roth Zeynep Akata Enkelejda Kasneci 17 12 0 08 Jul 2022
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances Ruben Ohana Kimia Nadjahi A. Rakotomamonjy L. Ralaivola 13 6 0 07 Jun 2022
Representation Uncertainty in Self-Supervised Learning as Variational Inference Hiroki Nakamura Masashi Okada T. Taniguchi 25 18 0 22 Mar 2022
Magnitude-aware Probabilistic Speaker Embeddings Nikita Kuzmin Igor Fedorov A. Sholokhov 27 7 0 28 Feb 2022
Probabilistic Embeddings Revisited I. Karpukhin Stanislav Dereka Sergey Kolesnikov UQCV AAML 12 10 0 14 Feb 2022
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers Piotr Teterwak Chiyuan Zhang Dilip Krishnan Michael C. Mozer 31 9 0 15 Mar 2021