Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels

8 December 2020

Pheng-Ann Heng

Papers citing "Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels"

36 / 36 papers shown

Title
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 239 19 0 11 Feb 2025
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 125 0 0 12 Jan 2025
Error-Bounded Correction of Noisy Labels Songzhu Zheng Pengxiang Wu A. Goswami Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 50 119 0 19 Nov 2020
Normalized Loss Functions for Deep Learning with Noisy Labels Xingjun Ma Hanxun Huang Yisen Wang Simone Romano S. Erfani James Bailey NoLa 65 441 0 24 Jun 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Biwei Huang Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 44 67 0 14 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 50 139 0 08 Jun 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 102 1,029 0 18 Feb 2020
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 83 315 0 04 Oct 2019
On the Efficacy of Knowledge Distillation Ligang He Rui Mao 92 609 0 03 Oct 2019
A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR Pengfei Chen B. Liao Guangyong Chen Shengyu Zhang NoLa 41 8 0 13 Jun 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 68 378 0 01 Jun 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels Pengfei Chen B. Liao Guangyong Chen Shengyu Zhang NoLa 65 386 0 13 May 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 74 611 0 25 Apr 2019
On Symmetric Losses for Learning from Corrupted Labels Nontawat Charoenphakdee Jongyeong Lee Masashi Sugiyama NoLa 54 105 0 27 Jan 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 58 781 0 14 Jan 2019
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 66 255 0 21 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 78 2,602 0 20 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 110 2,066 0 18 Apr 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 72 710 0 30 Mar 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 139 1,424 0 24 Mar 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 127 554 0 14 Feb 2018
Robust Loss Functions under Label Noise for Deep Neural Networks Aritra Ghosh Himanshu Kumar P. Sastry NoLa OOD 64 956 0 27 Dec 2017
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 93 1,451 0 14 Dec 2017
Learning From Noisy Singly-labeled Data A. Khetan Zachary Chase Lipton Anima Anandkumar NoLa 49 162 0 13 Dec 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 107 3,764 0 15 Aug 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 120 1,817 0 16 Jun 2017
Decoupling "when to update" from "how to update" Eran Malach Shai Shalev-Shwartz NoLa 72 566 0 08 Jun 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 332 4,624 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 90 1,452 0 13 Sep 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 330 7,980 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 331 19,634 0 09 Mar 2015
Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed Honglak Lee Dragomir Anguelov Christian Szegedy D. Erhan Andrew Rabinovich NoLa 109 1,021 0 20 Dec 2014
Optimal Learners for Multiclass Problems Amit Daniely Shai Shalev-Shwartz 58 86 0 10 May 2014
Making Risk Minimization Tolerant to Label Noise Aritra Ghosh Naresh Manwani P. Sastry NoLa 140 214 0 14 Mar 2014
Noise Tolerance under Risk Minimization Naresh Manwani S. M. I. P. S. Sastry NoLa 174 276 0 24 Sep 2011