Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

20 May 2018

Papers citing "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels"

12 / 62 papers shown

Title
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 90 1,452 0 13 Sep 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 212 2,356 0 30 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
Auxiliary Image Regularization for Deep CNNs with Noisy Labels S. Azadi Jiashi Feng Stefanie Jegelka Trevor Darrell NoLa 63 89 0 22 Nov 2015
Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen A. Menon Robert C. Williamson NoLa 164 311 0 28 May 2015
Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh Seunghoon Hong Bohyung Han SSeg 232 4,177 0 17 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed Honglak Lee Dragomir Anguelov Christian Szegedy D. Erhan Andrew Rabinovich NoLa 111 1,021 0 20 Dec 2014
Training Convolutional Networks with Noisy Labels Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir D. Bourdev Rob Fergus NoLa 89 272 0 09 Jun 2014
Making Risk Minimization Tolerant to Label Noise Aritra Ghosh Naresh Manwani P. Sastry NoLa 143 214 0 14 Mar 2014
Noise Tolerance under Risk Minimization Naresh Manwani S. M. I. P. S. Sastry NoLa 174 276 0 24 Sep 2011
Maximum L $q$ -likelihood estimation Davide Ferrari Yuhong Yang 59 89 0 24 Feb 2010