Learning to Reweight Examples for Robust Deep Learning

24 March 2018

Papers citing "Learning to Reweight Examples for Robust Deep Learning"

22 / 772 papers shown

Title
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification Cheng Xue Qi Dou Xueying Shi Hao Chen Pheng Ann Heng NoLa 11 104 0 23 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 41 2,226 0 16 Jan 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 6 769 0 14 Jan 2019
Geometrization of deep networks for the interpretability of deep learning systems Xiao Dong Ling Zhou AI4CE 11 9 0 06 Jan 2019
Learning to Learn from Noisy Labeled Data Junnan Li Yongkang Wong Qi Zhao Mohan S. Kankanhalli NoLa 9 330 0 13 Dec 2018
Label-Noise Robust Generative Adversarial Networks Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada NoLa 22 60 0 27 Nov 2018
Semi-Supervised Semantic Image Segmentation with Self-correcting Networks Mostafa S. Ibrahim Arash Vahdat Mani Ranjbar W. Macready 12 83 0 17 Nov 2018
Minimizing Close-k Aggregate Loss Improves Classification B. He James Zou 24 2 0 01 Nov 2018
Learning with Bad Training Data via Iterative Trimmed Loss Minimization Yanyao Shen Sujay Sanghavi FedML 17 4 0 28 Oct 2018
An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images B. Damodaran Rémi Flamary Vivien Seguy Nicolas Courty NoLa 26 39 0 02 Oct 2018
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust Bo Han Gang Niu Xingrui Yu Quanming Yao Miao Xu Ivor Tsang Masashi Sugiyama NoLa 9 7 0 28 Sep 2018
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 30 85 0 31 Aug 2018
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions Zaiyi Chen Zhuoning Yuan Jinfeng Yi Bowen Zhou Enhong Chen Tianbao Yang 13 58 0 20 Aug 2018
Cavity Filling: Pseudo-Feature Generation for Multi-Class Imbalanced Data Problems in Deep Learning Tomohiko Konno M. Iwazume 11 4 0 17 Jul 2018
Deep Imbalanced Learning for Face Recognition and Attribute Prediction Chen Huang Yining Li Chen Change Loy Xiaoou Tang CVBM 6 309 0 01 Jun 2018
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya-Qin Zhang Masashi Sugiyama NoLa 8 253 0 21 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 11 2,547 0 20 May 2018
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks Sungjoon Choi Sanghoon Hong Kyungjae Lee Sungbin Lim OOD 19 8 0 16 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 58 2,027 0 18 Apr 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 25 546 0 14 Feb 2018
Learning with Bounded Instance- and Label-dependent Label Noise Jiacheng Cheng Tongliang Liu K. Ramamohanarao Dacheng Tao NoLa 35 147 0 12 Sep 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017