ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning

21 March 2021

Ragav Sachdeva

F. Cordeiro

Vasileios Belagiannis

Ian Reid

G. Carneiro

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Papers citing "ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning"

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Title
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 130 35 0 08 Nov 2021
Learning Fast Sample Re-weighting Without Reward Data Zizhao Zhang Tomas Pfister 51 75 0 07 Sep 2021
Understanding and Improving Early Stopping for Learning with Noisy Labels Ying-Long Bai Erkun Yang Bo Han Yanhua Yang Jiatong Li Yinian Mao Gang Niu Tongliang Liu NoLa 43 217 0 30 Jun 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning Youjiang Xu Linchao Zhu Lu Jiang Yi Yang 57 51 0 30 Apr 2021
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 37 77 0 06 Mar 2021
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 54 115 0 08 Dec 2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 19 40 0 11 Nov 2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning Tao Han Junyu Gao Yuan. Yuan Qi. Wang 43 26 0 12 Oct 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 81 561 0 30 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 95 535 0 25 May 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 431 3,397 0 09 Mar 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 79 1,021 0 18 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 277 18,607 0 13 Feb 2020
Towards Robust Learning with Different Label Noise Distributions Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 33 25 0 18 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 128 12,007 0 13 Nov 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 70 314 0 04 Oct 2019
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering Shiyue Zhang Joey Tianyi Zhou 56 140 0 13 Sep 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 43 271 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 68 888 0 16 Aug 2019
Deep Self-Learning From Noisy Labels Jiangfan Han Ping Luo Xiaogang Wang NoLa 51 280 0 06 Aug 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels Pengfei Chen B. Liao Guangyong Chen Shengyu Zhang NoLa 50 383 0 13 May 2019
Photometric Transformer Networks and Label Adjustment for Breast Density Prediction Jaehwan Lee Donggeon Yoo J. Y. Huh Hyo-Eun Kim NoLa 36 23 0 08 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 126 3,009 0 06 May 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 65 609 0 25 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 Clifton N. Robertson NoLa 41 62 0 28 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 52 413 0 19 Mar 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee Sukmin Yun Kibok Lee Honglak Lee Yue Liu Jinwoo Shin NoLa 73 136 0 31 Jan 2019
How does Disagreement Help Generalization against Label Corruption? Xingrui Yu Bo Han Jiangchao Yao Gang Niu Ivor W. Tsang Masashi Sugiyama NoLa 45 778 0 14 Jan 2019
Learning to Learn from Noisy Labeled Data Junnan Li Yongkang Wong Qi Zhao Mohan Kankanhalli NoLa 42 331 0 13 Dec 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 61 429 0 07 Jun 2018
Semi-Supervised Clustering with Neural Networks Ankita Shukla Gullal Singh Cheema Saket Anand SSL 40 26 0 05 Jun 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 92 2,051 0 18 Apr 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 61 708 0 30 Mar 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 128 1,419 0 24 Mar 2018
A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels Yifan Ding Liqiang Wang Deliang Fan Boqing Gong NoLa 45 103 0 08 Feb 2018
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
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 54 197 0 27 Nov 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 253 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
Decoupling "when to update" from "how to update" Eran Malach Shai Shalev-Shwartz NoLa 66 564 0 08 Jun 2017
Deep Learning is Robust to Massive Label Noise David Rolnick Andreas Veit Serge J. Belongie Nir Shavit NoLa 67 553 0 30 May 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 311 1,275 0 06 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 570 10,726 0 19 Feb 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 285 4,620 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 85 1,447 0 13 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 673 36,599 0 25 Aug 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 305 10,149 0 16 Mar 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.1K 99,991 0 04 Sep 2014