DivideMix: Learning with Noisy Labels as Semi-supervised Learning

18 February 2020

Papers citing "DivideMix: Learning with Noisy Labels as Semi-supervised Learning"

50 / 216 papers shown

Title
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data Qingyu Tan Lu Xu Lidong Bing Hwee Tou Ng 18 4 0 16 Jun 2023
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 41 1 0 31 May 2023
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition Xiang Zhang Yan Lu Huan Yan Jingyang Huang Yusheng Ji Yu Gu 35 3 0 29 May 2023
BadLabel: A Robust Perspective on Evaluating and Enhancing Label-noise Learning Jingfeng Zhang Bo Song Haohan Wang Bo Han Tongliang Liu Lei Liu Masashi Sugiyama AAML NoLa 34 14 0 28 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 37 22 0 24 May 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 32 7 0 23 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 40 12 0 22 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 33 4 0 13 May 2023
Noisy Correspondence Learning with Meta Similarity Correction Haocheng Han Kaiyao Miao Qinghua Zheng Minnan Luo 32 28 0 13 Apr 2023
Dynamics-Aware Loss for Learning with Label Noise Xiu-Chuan Li Xiaobo Xia Fei Zhu Tongliang Liu Xu-Yao Zhang Cheng-Lin Liu NoLa AI4CE 35 6 0 21 Mar 2023
Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning Sungnyun Kim Sangmin Bae Se-Young Yun 22 9 0 20 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
Twin Contrastive Learning with Noisy Labels Zhizhong Huang Junping Zhang Hongming Shan NoLa 14 53 0 13 Mar 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation Mattia Litrico Alessio Del Bue Pietro Morerio UQCV 44 59 0 07 Mar 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya Zhang Ivor W. Tsang NoLa BDL 33 8 0 19 Feb 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 49 27 0 14 Feb 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 33 5 0 18 Jan 2023
Enhancing Self-Training Methods Aswathnarayan Radhakrishnan Jim Davis Zachary Rabin Benjamin Lewis Matthew Scherreik R. Ilin 26 1 0 18 Jan 2023
1st Place Solution for ECCV 2022 OOD-CV Challenge Image Classification Track Yilu Guo Xing-Jian Shi Weijie Chen Shicai Yang Di Xie Shiliang Pu Yueting Zhuang 3DGS 14 1 0 12 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 34 11 0 09 Jan 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 42 0 0 04 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 55 8 0 02 Jan 2023
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 64 2 0 02 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 28 28 0 21 Dec 2022
On-the-fly Denoising for Data Augmentation in Natural Language Understanding Tianqing Fang Wenxuan Zhou Fangyu Liu Hongming Zhang Yangqiu Song Muhao Chen 41 1 0 20 Dec 2022
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia Xuhong Li Lei Yu Jiang Bian Penghao Zhao Shupeng Li Haoyi Xiong Dejing Dou NoLa 35 5 0 19 Dec 2022
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective Yunrui Zhao Qianqian Xu Yangbangyan Jiang Peisong Wen Qingming Huang 30 38 0 06 Dec 2022
Sources of Noise in Dialogue and How to Deal with Them Derek Chen Zhou Yu 29 2 0 06 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting Jihye Kim A. Baratin Yan Zhang Simon Lacoste-Julien NoLa 20 7 0 03 Dec 2022
Model and Data Agreement for Learning with Noisy Labels Yuhang Zhang Weihong Deng Xingchen Cui Yunfeng Yin Hongzhi Shi Dongchao Wen NoLa 34 5 0 02 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie-jin Yang Chunhua Shen 44 4 0 01 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 33 2 0 01 Dec 2022
On Robust Learning from Noisy Labels: A Permutation Layer Approach Salman Alsubaihi Mohammed Alkhrashi Raied Aljadaany Fahad Albalawi Guohao Li NoLa 23 0 0 29 Nov 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction Tianyi Wang Jianwei Wang Ziqian Zeng 32 2 0 25 Nov 2022
Learning with Partial Labels from Semi-supervised Perspective Ximing Li Yuanzhi Jiang C. Li Yiyuan Wang Jihong Ouyang SSL 23 15 0 24 Nov 2022
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels Guanlin Li Guowen Xu Tianwei Zhang NoLa ISeg 23 0 0 24 Nov 2022
Robust Training for Speaker Verification against Noisy Labels Zhihua Fang Liang He Hanhan Ma Xiao-Min Guo Lin Li NoLa 29 3 0 22 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 44 20 0 20 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 26 3 0 20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss Lefan Zhang Zhang-Hao Tian Wujun Zhou Wei Wang NoLa 24 2 0 20 Nov 2022
IRNet: Iterative Refinement Network for Noisy Partial Label Learning Zheng Lian Ming Xu Lang Chen Guoying Zhao B. Liu Jianhua Tao NoLa 19 4 0 09 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 40 13 0 02 Nov 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 35 4 0 27 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 24 3 0 11 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 36 2 0 02 Oct 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 47 27 0 20 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 39 27 0 02 Sep 2022