R-divergence for Estimating Model-oriented Distribution Discrepancy

2 October 2023

Papers citing "R-divergence for Estimating Model-oriented Distribution Discrepancy"

17 / 17 papers shown

Title
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 189 5,226 0 10 Jan 2022
Regressive Domain Adaptation for Unsupervised Keypoint Detection Junguang Jiang Yifei Ji Ximei Wang Yufeng Liu Jianmin Wang Mingsheng Long 67 69 0 10 Mar 2021
Two-sample Testing Using Deep Learning Matthias Kirchler S. Khorasani Marius Kloft C. Lippert 72 38 0 14 Oct 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 198 2,246 0 05 Jul 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 73 382 0 01 Jun 2019
Learning Robust Global Representations by Penalizing Local Predictive Power Haohan Wang Songwei Ge Eric Xing Zachary Chase Lipton OOD 122 967 0 29 May 2019
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 131 1,456 0 14 Dec 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 316 9,811 0 25 Oct 2017
Deeper, Broader and Artier Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 127 1,453 0 09 Oct 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,568 0 05 Sep 2017
Regularizing Neural Networks by Penalizing Confident Output Distributions Gabriel Pereyra George Tucker J. Chorowski Lukasz Kaiser Geoffrey E. Hinton NoLa 165 1,141 0 23 Jan 2017
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 189 406 0 20 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 176 3,480 0 07 Oct 2016
Fast Two-Sample Testing with Analytic Representations of Probability Measures Kacper P. Chwialkowski Aaditya Ramdas Dino Sejdinovic Arthur Gretton 76 155 0 15 Jun 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen A. Menon Robert C. Williamson NoLa 172 313 0 28 May 2015
One weird trick for parallelizing convolutional neural networks A. Krizhevsky GNN 95 1,303 0 23 Apr 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013