Robust Loss Functions under Label Noise for Deep Neural Networks

27 December 2017

Papers citing "Robust Loss Functions under Label Noise for Deep Neural Networks"

45 / 145 papers shown

Title
Being Properly Improper Tyler Sypherd Richard Nock Lalitha Sankar FaML 39 10 0 18 Jun 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion Xian-Jin Gui Wei Wang Zhang-Hao Tian NoLa 27 44 0 17 Jun 2021
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data Haoming Jiang Danqing Zhang Tianyu Cao Bing Yin T. Zhao NoLa 30 44 0 16 Jun 2021
CCMN: A General Framework for Learning with Class-Conditional Multi-Label Noise Ming-Kun Xie Sheng-Jun Huang NoLa 24 25 0 16 May 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 34 103 0 10 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 21 20 0 07 May 2021
Contrastive Learning Improves Model Robustness Under Label Noise Aritra Ghosh Andrew S. Lan NoLa 21 58 0 19 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 26 6 0 01 Apr 2021
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training Yoonhyung Kim Changick Kim 13 8 0 01 Apr 2021
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation Chen Li G. Lee OOD 9 81 0 27 Mar 2021
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels Purvi Goel Li Chen NoLa 30 15 0 22 Mar 2021
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification Fengxiang Yang Zhun Zhong Zhiming Luo Yuanzheng Cai Yaojin Lin Shaozi Li N. Sebe NoLa 27 111 0 08 Mar 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 24 3 0 01 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 32 22 0 28 Feb 2021
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels Zhaowei Zhu Yiwen Song Yang Liu NoLa 13 91 0 10 Feb 2021
Partial Identifiability in Discrete Data With Measurement Error N. Finkelstein R. Adams S. Saria I. Shpitser 24 11 0 23 Dec 2020
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification A. Aksoy Mahdyar Ravanbakhsh Begüm Demir 27 24 0 19 Dec 2020
Self-Supervised Person Detection in 2D Range Data using a Calibrated Camera Dan Jia Mats Steinweg Alexander Hermans Bastian Leibe 3DPC 24 11 0 16 Dec 2020
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 30 112 0 09 Dec 2020
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 103 34 0 08 Dec 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 24 54 0 07 Nov 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 25 13 0 12 Oct 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 30 38 0 11 Jul 2020
Automatic Ischemic Stroke Lesion Segmentation from Computed Tomography Perfusion Images by Image Synthesis and Attention-Based Deep Neural Networks Guotai Wang Tao Song Q. Dong Mei Cui Ning Huang Shaoting Zhang DiffM MedIm 30 73 0 07 Jul 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 19 102 0 12 Jun 2020
Detecting and Tracking Communal Bird Roosts in Weather Radar Data Zezhou Cheng Saadia Gabriel Pankaj Bhambhani Daniel Sheldon Subhransu Maji Andrew J. Laughlin D. Winkler 20 15 0 24 Apr 2020
Progressive Identification of True Labels for Partial-Label Learning Jiaqi Lv Miao Xu Lei Feng Gang Niu Xin Geng Masashi Sugiyama 11 177 0 19 Feb 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 37 104 0 11 Jan 2020
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification Yixiao Ge Dapeng Chen Hongsheng Li 33 555 0 06 Jan 2020
Learning with Multiple Complementary Labels Lei Feng Takuo Kaneko Bo Han Gang Niu Bo An Masashi Sugiyama 20 92 0 30 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 18 535 0 05 Dec 2019
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications Hyunseok Seo M. B. Khuzani V. Vasudevan Charles Huang Hongyi Ren Ruoxiu Xiao Xiao Jia Lei Xing VLM 6 218 0 06 Nov 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 17 265 0 19 Aug 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels Yisen Wang Xingjun Ma Zaiyi Chen Yuan Luo Jinfeng Yi James Bailey NoLa 39 875 0 16 Aug 2019
Ranking-Based Autoencoder for Extreme Multi-label Classification Bingyu Wang Li-Wei Chen Wei Sun Kechen Qin Kefeng Li Hui Zhou 25 15 0 11 Apr 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 19 24 0 08 Apr 2019
IMAE for Noise-Robust Learning: Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude's Variance Matters Xinshao Wang Yang Hua Elyor Kodirov David A. Clifton N. Robertson NoLa 24 62 0 28 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 36 409 0 19 Mar 2019
An Effective Label Noise Model for DNN Text Classification Ishan Jindal Daniel Pressel Brian Lester M. Nokleby NoLa 32 48 0 18 Mar 2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels Eduardo Fonseca Manoj Plakal D. Ellis F. Font Xavier Favory Xavier Serra NoLa 25 110 0 04 Jan 2019
Limited Gradient Descent: Learning With Noisy Labels Yi Sun Yan Tian Yiping Xu Jianxiang Li NoLa 35 13 0 20 Nov 2018
Taming the Cross Entropy Loss Manuel Martínez Rainer Stiefelhagen NoLa 23 46 0 11 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
Dimensionality-Driven Learning with Noisy Labels Xingjun Ma Yisen Wang Michael E. Houle Shuo Zhou S. Erfani Shutao Xia S. Wijewickrema James Bailey NoLa 29 425 0 07 Jun 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 30 702 0 30 Mar 2018