Boosting Co-teaching with Compression Regularization for Label Noise

28 April 2021

Papers citing "Boosting Co-teaching with Compression Regularization for Label Noise"

29 / 29 papers shown

Title
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels F. Cordeiro G. Carneiro NoLa 33 1 0 03 Nov 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 27 1 0 19 Aug 2024
A Multi-module Robust Method for Transient Stability Assessment against False Label Injection Cyberattacks Hanxuan Wang Na Lu Yinhong Liu Zhuqing Wang Zixuan Wang AAML 24 0 0 10 Jun 2024
Collaboration of Teachers for Semi-supervised Object Detection Liyu Chen Huaao Tang Yi Wen Hanting Chen Wei Li Junchao Liu Jie Hu 36 0 0 22 May 2024
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery Haiyang Zheng Nan Pu Wenjing Li N. Sebe Zhun Zhong 41 7 0 12 Mar 2024
Feature Noise Boosts DNN Generalization under Label Noise Lu Zeng Xuan Chen Xiaoshuang Shi H. Shen MLT NoLa 14 2 0 03 Aug 2023
Partial Label Supervision for Agnostic Generative Noisy Label Learning Fengbei Liu Chong Wang Yuanhong Chen Yuyuan Liu G. Carneiro NoLa 30 1 0 02 Aug 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro 17 2 0 20 Mar 2023
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Jiangning Zhang Yabiao Wang Chengjie Wang C. Zhao AAML NoLa 36 15 0 14 Feb 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 23 0 0 04 Jan 2023
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning Fengbei Liu Yuanhong Chen Chong Wang Yu-Ching Tain G. Carneiro NoLa 52 0 0 01 Jan 2023
Learning with Noisy Labels over Imbalanced Subpopulations Mingcai Chen Yu Zhao Bing He Zongbo Han Bingzhe Wu Jianhua Yao 11 8 0 16 Nov 2022
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version) Maximilian Bernhard Matthias Schubert ObjD 19 3 0 24 Oct 2022
CNTN: Cyclic Noise-tolerant Network for Gait Recognition Weichen Yu Hongyuan Yu Yan Huang Chunshui Cao Liang Wang NoLa 28 3 0 13 Oct 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 29 27 0 02 Sep 2022
Neighborhood Collective Estimation for Noisy Label Identification and Correction Jichang Li Guanbin Li Feng Liu Yizhou Yu NoLa 16 29 0 05 Aug 2022
Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 17 22 0 27 Jul 2022
Unsupervised Learning under Latent Label Shift Manley Roberts P. Mani Saurabh Garg Zachary Chase Lipton OOD 41 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 21 22 0 25 Jul 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen J. Zhao 19 54 0 21 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 13 6 0 30 Jun 2022
Compressing Features for Learning with Noisy Labels Yingyi Chen S. Hu Xin Shen C. Ai Johan A. K. Suykens NoLa 8 13 0 27 Jun 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels Yangdi Lu Wenbo He NoLa 25 39 0 02 May 2022
Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels Yikai Wang Xinwei Sun Yanwei Fu NoLa 29 23 0 15 Mar 2022
L2B: Learning to Bootstrap Robust Models for Combating Label Noise Yuyin Zhou Xianhang Li Fengze Liu Qingyue Wei Xuxi Chen Lequan Yu Cihang Xie M. Lungren Lei Xing NoLa 39 3 0 09 Feb 2022
Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise Mingcai Chen Hao Cheng Yuntao Du Ming Xu Wenyu Jiang Chongjun Wang NoLa 14 25 0 06 Dec 2021
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning Xin Zhang Zixuan Liu Kaiwen Xiao Tian Shen Junzhou Huang Wei Yang Dimitris Samaras Xiao Han NoLa 47 4 0 23 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 19 18 0 22 Nov 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 497 0 05 Mar 2020