Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

18 April 2018

Bo Han

Ivor Tsang

Papers citing "Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels"

50 / 270 papers shown

Title
Survey of Deep Learning Methods for Inverse Problems S. Kamyab Zihreh Azimifar Rasool Sabzi Paul Fieguth 6 3 0 07 Nov 2021
Generalized Data Weighting via Class-level Gradient Manipulation Can Chen Shuhao Zheng Xi Chen Erqun Dong Xue Liu Hao Liu Dejing Dou 24 24 0 29 Oct 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 13 61 0 27 Oct 2021
Meta-learning with an Adaptive Task Scheduler Huaxiu Yao Yu-Xiang Wang Ying Wei P. Zhao M. Mahdavi Defu Lian Chelsea Finn OOD 24 45 0 26 Oct 2021
Addressing out-of-distribution label noise in webly-labelled data Paul Albert Diego Ortego Eric Arazo Noel E. O'Connor Kevin McGuinness NoLa 16 16 0 26 Oct 2021
Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression Jiabo He S. Erfani Xingjun Ma James Bailey Ying Chi Xiansheng Hua 26 245 0 26 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 22 18 0 22 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 873 0 21 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 33 28 0 18 Oct 2021
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 27 13 0 15 Oct 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 26 39 0 14 Oct 2021
Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning Xinghua Zhang Yu Bowen Tingwen Liu Zhenyu Zhang Jiawei Sheng Mengge Xue Hongbo Xu 16 21 0 09 Oct 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding Shivendra Bhardwaj Abbas Ghaddar Ahmad Rashid Khalil Bibi Cheng-huan Li A. Ghodsi Philippe Langlais Mehdi Rezagholizadeh 19 1 0 21 Sep 2021
Connecting Low-Loss Subspace for Personalized Federated Learning S. Hahn Minwoo Jeong Junghye Lee FedML 14 18 0 16 Sep 2021
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction Jiarun Liu Ruirui Li Chuan Sun OOD NoLa VLM 14 32 0 11 Sep 2021
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding Yingmei Guo Linjun Shou J. Pei Ming Gong Mingxing Xu Zhiyong Wu Daxin Jiang 19 5 0 03 Sep 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun-Xiong Xia Lirong Wu Stan Z. Li NoLa 68 116 0 05 Aug 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 26 51 0 31 Jul 2021
Learning with Noisy Labels for Robust Point Cloud Segmentation Shuquan Ye Dongdong Chen Songfang Han Jing Liao 3DPC 17 51 0 29 Jul 2021
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation Shuailin Li Zhitong Gao Xuming He NoLa 25 26 0 21 Jul 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report) Yinjun Wu James Weimer S. Davidson 10 4 0 19 Jul 2021
Rethinking Graph Auto-Encoder Models for Attributed Graph Clustering Nairouz Mrabah Mohamed Bouguessa M. Touati Riadh Ksantini 28 61 0 19 Jul 2021
Consensual Collaborative Training And Knowledge Distillation Based Facial Expression Recognition Under Noisy Annotations Darshan Gera B. S 11 7 0 10 Jul 2021
Mitigating Memorization in Sample Selection for Learning with Noisy Labels Kyeongbo Kong Junggi Lee Youngchul Kwak Young-Rae Cho Seong-Eun Kim Woo‐Jin Song NoLa 9 0 0 08 Jul 2021
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 28 29 0 29 Jun 2021
Distilling effective supervision for robust medical image segmentation with noisy labels Jialin Shi Ji Wu NoLa 11 32 0 21 Jun 2021
CompConv: A Compact Convolution Module for Efficient Feature Learning Chen Zhang Yinghao Xu Yujun Shen VLM SSL 8 10 0 19 Jun 2021
Towards Understanding Deep Learning from Noisy Labels with Small-Loss Criterion Xian-Jin Gui Wei Wang Zhang-Hao Tian NoLa 22 44 0 17 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 23 114 0 08 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 32 69 0 08 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 17 17 0 01 Jun 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification Mark Collier Basil Mustafa Efi Kokiopoulou Rodolphe Jenatton Jesse Berent NoLa 176 53 0 19 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 19 20 0 07 May 2021
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning Yuyang Gao Giorgio Ascoli Liang Zhao 19 4 0 05 May 2021
MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning Zafiirah Hosenie S. Bloemen P. Groot R. Lyon B. Scheers ... Vanessa McBride R. L. le Poole K. Paterson D. Pieterse P. Woudt 22 7 0 28 Apr 2021
Boosting Co-teaching with Compression Regularization for Label Noise Yingyi Chen Xin Shen S. Hu Johan A. K. Suykens NoLa 29 45 0 28 Apr 2021
Contrastive Learning Improves Model Robustness Under Label Noise Aritra Ghosh Andrew S. Lan NoLa 11 58 0 19 Apr 2021
Noisy-Labeled NER with Confidence Estimation Kun Liu Yao Fu Chuanqi Tan Mosha Chen Ningyu Zhang Songfang Huang Sheng Gao NoLa 28 60 0 09 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 22 142 0 07 Apr 2021
Learning from Self-Discrepancy via Multiple Co-teaching for Cross-Domain Person Re-Identification Suncheng Xiang Yuzhuo Fu Mengyuan Guan Ting Liu 19 22 0 06 Apr 2021
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation Subhankar Roy E. Krivosheev Zhun Zhong N. Sebe Elisa Ricci 25 59 0 01 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 24 6 0 01 Apr 2021
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization Zeke Xie Li-xin Yuan Zhanxing Zhu Masashi Sugiyama 11 29 0 31 Mar 2021
Collaborative Label Correction via Entropy Thresholding Hao Wu Jiangchao Yao Jiajie Wang Yinru Chen Ya-Qin Zhang Yanfeng Wang NoLa 4 4 0 31 Mar 2021
Adaptive Pseudo-Label Refinement by Negative Ensemble Learning for Source-Free Unsupervised Domain Adaptation Waqar Ahmed Pietro Morerio Vittorio Murino 8 4 0 29 Mar 2021
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 31 43 0 28 Mar 2021
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation Chen Li G. Lee OOD 9 81 0 27 Mar 2021
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation Rumeng Yi Yaping Huang Q. Guan Mengyang Pu Runsheng Zhang NoLa 20 27 0 26 Mar 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Andrew Zhang Zhenmin Tang NoLa 25 133 0 24 Mar 2021
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels Purvi Goel Li Chen NoLa 28 15 0 22 Mar 2021