Learning the Information Divergence

5 June 2014

Papers citing "Learning the Information Divergence"

13 / 13 papers shown

Title
Weighted Ensemble Self-Supervised Learning Yangjun Ruan Saurabh Singh Warren Morningstar Alexander A. Alemi Sergey Ioffe Ian S. Fischer Joshua V. Dillon FedML 83 16 0 18 Nov 2022
Learning Log-Determinant Divergences for Positive Definite Matrices A. Cherian P. Stanitsas Jue Wang Mehrtash Harandi V. Morellas Nikolaos Papanikolopoulos 42 4 0 13 Apr 2021
Camouflaged Object Detection and Tracking: A Survey Ajoy Mondal 54 41 0 25 Dec 2020
Multiplicative Updates for NMF with $β$ -Divergences under Disjoint Equality Constraints Valentin Leplat Nicolas Gillis Jérôme Idier 52 11 0 30 Oct 2020
Deep matrix factorizations Pierre De Handschutter Nicolas Gillis Xavier Siebert BDL 128 47 0 01 Oct 2020
Bregman-divergence-guided Legendre exponential dispersion model with finite cumulants (K-LED) Hyenkyun Woo 8 1 0 04 Oct 2019
Generalized Separable Nonnegative Matrix Factorization Junjun Pan Nicolas Gillis 85 27 0 30 May 2019
Distributionally Robust and Multi-Objective Nonnegative Matrix Factorization Nicolas Gillis L. Hien Valentin Leplat Vincent Y. F. Tan OOD 62 13 0 30 Jan 2019
Word Embedding based on Low-Rank Doubly Stochastic Matrix Decomposition D. Sedov Zhirong Yang BDL 22 3 0 12 Dec 2018
The Deep Weight Prior Andrei Atanov Arsenii Ashukha Kirill Struminsky Dmitry Vetrov Max Welling BDL 92 37 0 16 Oct 2018
Stochastically Controlled Stochastic Gradient for the Convex and Non-convex Composition problem Liu Liu Ji Liu Cho-Jui Hsieh Dacheng Tao 64 13 0 06 Sep 2018
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version) A. Cherian P. Stanitsas Mehrtash Harandi V. Morellas Nikolaos Papanikolopoulos 41 2 0 05 Aug 2017
Generalizing Jensen and Bregman divergences with comparative convexity and the statistical Bhattacharyya distances with comparable means Frank Nielsen Richard Nock 16 2 0 16 Feb 2017