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Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels

5 July 2020

Papers citing "Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels"

25 / 25 papers shown

Title
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 75 98 0 30 Dec 2019
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach Nan Lu Tianyi Zhang Gang Niu Masashi Sugiyama 54 55 0 20 Oct 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 52 277 0 19 Aug 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 73 381 0 01 Jun 2019
Generative-Discriminative Complementary Learning Yanwu Xu Biwei Huang Junxiang Chen Tongliang Liu Kun Zhang Kayhan Batmanghelich GAN 40 38 0 02 Apr 2019
Uniform convergence may be unable to explain generalization in deep learning Vaishnavh Nagarajan J. Zico Kolter MoMe AI4CE 81 315 0 13 Feb 2019
Online Multiclass Classification Based on Prediction Margin for Partial Feedback Takuo Kaneko Issei Sato Masashi Sugiyama 29 12 0 04 Feb 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 76 787 0 14 Jan 2019
Complementary-Label Learning for Arbitrary Losses and Models Takashi Ishida Gang Niu A. Menon Masashi Sugiyama VLM 56 113 0 10 Oct 2018
Classification from Positive, Unlabeled and Biased Negative Data Yu-Guan Hsieh Gang Niu Masashi Sugiyama 55 80 0 01 Oct 2018
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 73 87 0 31 Aug 2018
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 73 255 0 21 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 118 2,078 0 18 Apr 2018
Classification from Pairwise Similarity and Unlabeled Data Han Bao Gang Niu Masashi Sugiyama 220 88 0 12 Feb 2018
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 59 198 0 27 Nov 2017
Binary Classification from Positive-Confidence Data Takashi Ishida Gang Niu Masashi Sugiyama 57 57 0 19 Oct 2017
Learning from Complementary Labels Takashi Ishida Gang Niu Weihua Hu Masashi Sugiyama 53 168 0 22 May 2017
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning Tomoya Sakai Gang Niu Masashi Sugiyama 53 61 0 04 May 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator Ryuichi Kiryo Gang Niu M. C. D. Plessis Masashi Sugiyama 71 477 0 02 Mar 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 345 4,636 0 10 Nov 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 113 1,458 0 13 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,861 0 25 Aug 2016
Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning Gang Niu M. C. D. Plessis Tomoya Sakai Yao Ma Masashi Sugiyama 69 128 0 10 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014