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 / 340 papers shown

Title
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Zhang Zhenmin Tang NoLa 33 133 0 24 Mar 2021
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels Purvi Goel Li Chen NoLa 30 15 0 22 Mar 2021
Unsupervised and self-adaptative techniques for cross-domain person re-identification Gabriel Bertocco Fernanda A. Andaló Anderson de Rezende Rocha 33 18 0 21 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
LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment F. Cordeiro Ragav Sachdeva Vasileios Belagiannis Ian Reid G. Carneiro NoLa 11 77 0 06 Mar 2021
Unified Robust Training for Graph NeuralNetworks against Label Noise Yayong Li Jie Yin Ling-Hao Chen NoLa 24 29 0 05 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
Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation Weijie Chen Luojun Lin Shicai Yang Di Xie Shiliang Pu Yueting Zhuang Wenqi Ren NoLa SSL 30 57 0 23 Feb 2021
Learning from Similarity-Confidence Data Yuzhou Cao Lei Feng Yitian Xu Bo An Gang Niu Masashi Sugiyama 21 17 0 13 Feb 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 42 144 0 11 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
Locally Adaptive Label Smoothing for Predictive Churn Dara Bahri Heinrich Jiang NoLa 37 8 0 09 Feb 2021
Understanding the Interaction of Adversarial Training with Noisy Labels Jianing Zhu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Hongxia Yang Mohan S. Kankanhalli Masashi Sugiyama AAML 24 27 0 06 Feb 2021
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 26 19 0 24 Jan 2021
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification Yongxing Dai Jun Liu Yan Bai Zekun Tong Ling-yu Duan 26 77 0 26 Dec 2020
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification A. Aksoy Mahdyar Ravanbakhsh Begüm Demir 29 24 0 19 Dec 2020
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan Rishabh Iyer University of Texas at Dallas 27 199 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
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 40 122 0 10 Dec 2020
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting Hongxin Wei Lei Feng R. Wang Bo An NoLa 25 6 0 09 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
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 27 112 0 08 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
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting Zeke Xie Fengxiang He Shaopeng Fu Issei Sato Dacheng Tao Masashi Sugiyama 21 59 0 12 Nov 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 24 54 0 07 Nov 2020
Active Learning for Noisy Data Streams Using Weak and Strong Labelers Taraneh Younesian Dick H. J. Epema L. Chen 15 11 0 27 Oct 2020
An Investigation of how Label Smoothing Affects Generalization Blair Chen Liu Ziyin Zihao Wang Paul Pu Liang UQCV 21 17 0 23 Oct 2020
Robust Imitation Learning from Noisy Demonstrations Voot Tangkaratt Nontawat Charoenphakdee Masashi Sugiyama NoLa 38 26 0 20 Oct 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
Training Binary Neural Networks through Learning with Noisy Supervision Kai Han Yunhe Wang Yixing Xu Chunjing Xu Enhua Wu Chang Xu MQ 15 55 0 10 Oct 2020
Pointwise Binary Classification with Pairwise Confidence Comparisons Lei Feng Senlin Shu Nan Lu Bo Han Miao Xu Gang Niu Bo An Masashi Sugiyama 36 21 0 05 Oct 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics Swabha Swayamdipta Roy Schwartz Nicholas Lourie Yizhong Wang Hannaneh Hajishirzi Noah A. Smith Yejin Choi 35 429 0 22 Sep 2020
Learning Soft Labels via Meta Learning Nidhi Vyas Shreyas Saxena T. Voice NoLa 30 30 0 20 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li Caiming Xiong S. Hoi 26 94 0 17 Sep 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 11 21 0 07 Sep 2020
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019 Zhang Li Jiehua Zhang T. Tan Xichao Teng Xiaoliang Sun ... P. Schüffler Qifeng Yu Hui Chen Yuling Tang G. Litjens 41 86 0 21 Aug 2020
Data-driven Meta-set Based Fine-Grained Visual Classification Chuanyi Zhang Yazhou Yao Xiangbo Shu Zechao Li Zhenmin Tang Qi Wu NoLa 21 2 0 06 Aug 2020
Salvage Reusable Samples from Noisy Data for Robust Learning Zeren Sun Xiansheng Hua Yazhou Yao Xiu-Shen Wei Guosheng Hu Jian Zhang NoLa 29 41 0 06 Aug 2020
Learning from a Complementary-label Source Domain: Theory and Algorithms Yiyang Zhang Feng Liu Zhen Fang Bo Yuan Guangquan Zhang Jie Lu 28 70 0 04 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
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 43 87 0 18 Jun 2020
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation D. Lu N. Polomac Iskra Gacheva E. Hattingen Jochen Triesch 18 18 0 17 Jun 2020
Learning Bounds for Risk-sensitive Learning Jaeho Lee Sejun Park Jinwoo Shin 25 45 0 15 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
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 30 134 0 08 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 27 75 0 06 Jun 2020