Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

20 May 2018

Papers citing "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels"

37 / 337 papers shown

Title
Data Cleansing with Contrastive Learning for Vocal Note Event Annotations Gabriel Meseguer-Brocal Rachel M. Bittner Simon Durand B. Brost 34 6 0 05 Aug 2020
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data A. L. Rodríguez Benjamin Busam K. Mikolajczyk 37 44 0 03 Aug 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 19 155 0 21 Jul 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 30 38 0 11 Jul 2020
What Do Neural Networks Learn When Trained With Random Labels? Hartmut Maennel Ibrahim M. Alabdulmohsin Ilya O. Tolstikhin R. Baldock Olivier Bousquet Sylvain Gelly Daniel Keysers FedML 48 87 0 18 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 13 67 0 14 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 31 29 0 10 Jun 2020
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account Khashayar Namdar M. Haider Farzad Khalvati 24 26 0 08 Jun 2020
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial Shruti Jadon Owen P. Leary I. Pan Tyler Harder D. Wright Lisa H. Merck D. Merck 22 27 0 01 Jun 2020
Semantic Segmentation of Underwater Imagery: Dataset and Benchmark M. Islam Chelsey Edge Yuyang Xiao Peigen Luo Muntaqim Mehtaz Christopher Morse Sadman Sakib Enan Junaed Sattar VLM 3DV 14 210 0 02 Apr 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 498 0 05 Mar 2020
Strength from Weakness: Fast Learning Using Weak Supervision Joshua Robinson Stefanie Jegelka S. Sra 40 32 0 19 Feb 2020
Learning Not to Learn in the Presence of Noisy Labels Liu Ziyin Blair Chen Ru Wang Paul Pu Liang Ruslan Salakhutdinov Louis-Philippe Morency Masahito Ueda NoLa 26 18 0 16 Feb 2020
Realistic River Image Synthesis using Deep Generative Adversarial Networks A. Gautam M. Sit Ibrahim Demir AI4CE GAN 11 49 0 14 Feb 2020
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining Byeong-Hoo Lee Ji-Hoon Jeong Kyung-Hwan Shim Dong-Joo Kim 10 6 0 04 Feb 2020
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network Byeong-Hoo Lee Ji-Hoon Jeong Kyung-Hwan Shim Seong-Whan Lee 11 16 0 01 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 24 535 0 05 Dec 2019
Penalizing small errors using an Adaptive Logarithmic Loss Chaitanya Kaul Nick E. Pears Hang Dai Roderick Murray-Smith S. Manandhar 22 9 0 22 Oct 2019
SELF: Learning to Filter Noisy Labels with Self-Ensembling Philipp Kratzer Marc Toussaint Thi Phuong Nhung Ngo T. Nguyen Jim Mainprice Thomas Brox NoLa 33 308 0 04 Oct 2019
Anchor Loss: Modulating Loss Scale based on Prediction Difficulty Serim Ryou Seong-Gyun Jeong Pietro Perona 16 43 0 24 Sep 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
Supervised Classifiers for Audio Impairments with Noisy Labels Chandan K. A. Reddy Ross Cutler J. Gehrke NoLa 27 4 0 03 Jul 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 11 369 0 01 Jun 2019
Combating Label Noise in Deep Learning Using Abstention S. Thulasidasan Tanmoy Bhattacharya J. Bilmes Gopinath Chennupati J. Mohd-Yusof NoLa 22 177 0 27 May 2019
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 63 172 0 24 May 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
A Robust Learning Approach to Domain Adaptive Object Detection Mehran Khodabandeh Arash Vahdat Mani Ranjbar W. Macready ObjD OOD TTA 16 245 0 04 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
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks Mingchen Li Mahdi Soltanolkotabi Samet Oymak NoLa 47 351 0 27 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 36 409 0 19 Mar 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 25 719 0 28 Jan 2019
Learning Sound Event Classifiers from Web Audio with Noisy Labels Eduardo Fonseca Manoj Plakal D. Ellis F. Font Xavier Favory Xavier Serra NoLa 28 110 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