A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training

8 September 2021

Papers citing "A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training"

20 / 20 papers shown

Title
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 88 979 0 16 Jul 2020
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images Siham Tabik A. Gómez-Ríos J. L. Martín-Rodríguez I. Sevillano-García M. Rey-Area ... J. Luengo M. A. Valero-González P. García-Villanova E. Olmedo-Sánchez Francisco Herrera 41 269 0 02 Jun 2020
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences Ehsan Amid Manfred K. Warmuth Rohan Anil Tomer Koren NoLa 35 128 0 08 Jun 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 67 609 0 25 Apr 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 52 413 0 19 Mar 2019
Dimensionality-Driven Learning with Noisy Labels Xingjun Ma Yisen Wang Michael E. Houle Shuo Zhou S. Erfani Shutao Xia S. Wijewickrema James Bailey NoLa 61 429 0 07 Jun 2018
Collaborative Learning for Deep Neural Networks Guocong Song Wei Chai FedML 36 195 0 30 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 60 2,580 0 20 May 2018
Iterative Learning with Open-set Noisy Labels Yisen Wang Weiyang Liu Xingjun Ma James Bailey H. Zha Le Song Shutao Xia NoLa 69 326 0 31 Mar 2018
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation A. Gómez-Ríos Siham Tabik Julián Luengo A. S. M. Shihavuddin Bartosz Krawczyk Francisco Herrera 3DH 3DV 23 121 0 27 Mar 2018
Robust Loss Functions under Label Noise for Deep Neural Networks Aritra Ghosh Himanshu Kumar P. Sastry NoLa OOD 51 952 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 90 1,448 0 14 Dec 2017
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise Kuang-Huei Lee Xiaodong He Lei Zhang Linjun Yang NoLa 62 454 0 20 Nov 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 258 9,687 0 25 Oct 2017
WebVision Database: Visual Learning and Understanding from Web Data Wen Li Limin Wang Wei Li E. Agustsson Luc Van Gool VLM 75 435 0 09 Aug 2017
Learning Deep Networks from Noisy Labels with Dropout Regularization Ishan Jindal M. Nokleby Xuewen Chen NoLa 49 184 0 09 May 2017
Automatic Handgun Detection Alarm in Videos Using Deep Learning R. Olmos Siham Tabik Francisco Herrera 31 214 0 16 Feb 2017
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 85 1,447 0 13 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.6K 192,638 0 10 Dec 2015
Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed Honglak Lee Dragomir Anguelov Christian Szegedy D. Erhan Andrew Rabinovich NoLa 106 1,014 0 20 Dec 2014