No Regret Sample Selection with Noisy Labels

6 March 2020

Papers citing "No Regret Sample Selection with Noisy Labels"

8 / 8 papers shown

Title
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 336 509 0 05 Mar 2020
Introduction to Online Convex Optimization Elad Hazan OffRL 102 1,922 0 07 Sep 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 60 377 0 01 Jun 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 45 778 0 14 Jan 2019
Learning to Learn from Noisy Labeled Data Junnan Li Yongkang Wong Qi Zhao Mohan Kankanhalli NoLa 42 331 0 13 Dec 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 128 1,419 0 24 Mar 2018
Online Batch Selection for Faster Training of Neural Networks I. Loshchilov Frank Hutter ODL 74 299 0 19 Nov 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen A. Menon Robert C. Williamson NoLa 106 309 0 28 May 2015