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
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation Barbara Plank 30 97 0 04 Nov 2022
Private Semi-supervised Knowledge Transfer for Deep Learning from Noisy Labels Qiuchen Zhang Jing Ma Jian Lou Li Xiong Xiaoqian Jiang NoLa 21 0 0 03 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Dinesh Manocha Dacheng Tao 38 13 0 02 Nov 2022
Self-Supervised Learning with Limited Labeled Data for Prostate Cancer Detection in High Frequency Ultrasound P. Wilson Mahdi Gilany A. Jamzad Fahimeh Fooladgar Minh Nguyen Nhat To Brian Wodlinger Purang Abolmaesumi P. Mousavi 42 12 0 01 Nov 2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving L. Yu Yifan Zhang Lanqing Hong Fei Chen Zhenguo Li 40 3 0 17 Oct 2022
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media Momchil Hardalov Anton Chernyavskiy Ivan Koychev Dmitry Ilvovsky Preslav Nakov HAI 35 15 0 10 Oct 2022
Label Propagation with Weak Supervision Rattana Pukdee Dylan Sam Maria-Florina Balcan Pradeep Ravikumar 37 9 0 07 Oct 2022
Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification Zeqi Chen Zhichao Cui Chi Zhang Jiahuan Zhou Yuehu Liu NoLa 46 17 0 07 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 33 2 0 02 Oct 2022
Robust Domain Adaptation for Machine Reading Comprehension Liang Jiang Zhenyu Huang Jia-Wei Liu Zujie Wen Xiaoya Peng 21 0 0 23 Sep 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang Mingxuan Xia Yixuan Li Yuren Mao Lei Feng Gang Chen J. Zhao 51 38 0 21 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 42 7 0 19 Sep 2022
Robust Product Classification with Instance-Dependent Noise Huy-Thanh Nguyen Devashish Khatwani NoLa 34 8 0 14 Sep 2022
Semi-Supervised Semantic Segmentation with Cross Teacher Training Hui Xiao Li Dong Kangkang Song Hao Xu Shuibo Fu Diqun Yan Chengbin Peng 35 26 0 03 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 34 27 0 02 Sep 2022
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels E. Santana G. Carneiro F. Cordeiro NoLa 29 6 0 23 Aug 2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 38 6 0 23 Aug 2022
ProPaLL: Probabilistic Partial Label Learning Lukasz Struski Jacek Tabor Bartosz Zieliñski 28 2 0 21 Aug 2022
Multi-View Correlation Consistency for Semi-Supervised Semantic Segmentation Yunzhong Hou Stephen Gould Liang Zheng 32 0 0 17 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 25 2 0 17 Aug 2022
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels Ganlong Zhao Guanbin Li Yipeng Qin Feng Liu Yizhou Yu NoLa 33 22 0 29 Jul 2022
Unsupervised Learning under Latent Label Shift Manley Roberts P. Mani Saurabh Garg Zachary Chase Lipton OOD 57 9 0 26 Jul 2022
Jigsaw-ViT: Learning Jigsaw Puzzles in Vision Transformer Yingyi Chen Xiaoke Shen Yahui Liu Qinghua Tao Johan A. K. Suykens AAML ViT 28 22 0 25 Jul 2022
Learning from Data with Noisy Labels Using Temporal Self-Ensemble Jun Ho Lee J. Baik Taebaek Hwang J. Choi NoLa 28 1 0 21 Jul 2022
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition Yuhang Zhang Chengrui Wang Xu Ling Weihong Deng 35 136 0 21 Jul 2022
Robust Object Detection With Inaccurate Bounding Boxes Chengxin Liu Kewei Wang Hao Lu Zhiguo Cao Ziming Zhang 13 21 0 20 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 35 32 0 18 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei-Yue Wang NoLa 28 43 0 12 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 19 6 0 30 Jun 2022
Towards Harnessing Feature Embedding for Robust Learning with Noisy Labels Chuang Zhang Li Shen Jian Yang Chen Gong NoLa 27 5 0 27 Jun 2022
On making optimal transport robust to all outliers Kilian Fatras OT 19 0 0 23 Jun 2022
Gray Learning from Non-IID Data with Out-of-distribution Samples Zhilin Zhao LongBing Cao Changbao Wang OOD OODD 31 1 0 19 Jun 2022
Improving Generalization of Metric Learning via Listwise Self-distillation Zelong Zeng Fan Yang Zhilin Wang Shiníchi Satoh FedML 35 1 0 17 Jun 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting Zhengqi He Zeke Xie Quanzhi Zhu Zengchang Qin 74 27 0 17 Jun 2022
Transductive CLIP with Class-Conditional Contrastive Learning Junchu Huang Weijie Chen Shicai Yang Di Xie Shiliang Pu Yueting Zhuang VLM BDL NoLa 16 6 0 13 Jun 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification Youngwook Kim Jae Myung Kim Zeynep Akata Jungwook Lee NoLa 32 47 0 08 Jun 2022
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Yongyi Su Xun Xu Kui Jia TTA OOD 29 45 0 06 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De-Chun Cheng Tongliang Liu Yixiong Ning Nannan Wang Bo Han Gang Niu Xinbo Gao Masashi Sugiyama NoLa 39 65 0 06 Jun 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations Ying-Long Bai Erkun Yang Zhaoqing Wang Yuxuan Du Bo Han Cheng Deng Dadong Wang Tongliang Liu SSL 25 3 0 04 Jun 2022
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile Dong Chen Lingfei Wu Siliang Tang Xiao Yun Bo Long Yueting Zhuang VLM NoLa 25 9 0 04 Jun 2022
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages D. Zhu Michael A. Hedderich Fangzhou Zhai David Ifeoluwa Adelani Dietrich Klakow NoLa 32 0 0 03 Jun 2022
Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space Diane Oyen Michal Kucer N. Hengartner H. Singh NoLa OOD 33 13 0 02 Jun 2022
Hyperspherical Consistency Regularization Cheng Tan Zhangyang Gao Lirong Wu Siyuan Li Stan Z. Li 36 25 0 02 Jun 2022
Context-based Virtual Adversarial Training for Text Classification with Noisy Labels Do-Myoung Lee Yeachan Kim Chang-gyun Seo NoLa 21 2 0 29 May 2022
Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher Jing Jiang Weihong Deng 29 23 0 28 May 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 25 1 0 27 May 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 32 3 0 25 May 2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation Jeffry Wicaksana Zengqiang Yan Dong Zhang Xijie Huang Huimin Wu Xin Yang Kwang-Ting Cheng FedML 35 49 0 04 May 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 31 2 0 03 May 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels Yangdi Lu Wenbo He NoLa 37 39 0 02 May 2022