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Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels

10 February 2021

Zhaowei Zhu

Yiwen Song

Yang Liu

NoLa

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Papers citing "Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels"

28 / 28 papers shown

Title
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 561 0 0 20 Nov 2024
AQuA: A Benchmarking Tool for Label Quality Assessment Mononito Goswami Vedant Sanil Arjun Choudhry Arvind Srinivasan Chalisa Udompanyawit Artur Dubrawski 104 13 0 15 Jun 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks Yuwen Li Miao Xiong Bryan Hooi 86 7 0 30 May 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 91 3 0 16 Mar 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 72 0 0 04 Jan 2023
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu Yanchao Sun Hechang Chen Sili Huang Haiyin Piao Yi-Ju Chang Lichao Sun 68 5 0 14 Oct 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 98 29 0 02 Sep 2022
Neighborhood Collective Estimation for Noisy Label Identification and Correction Jichang Li Guanbin Li Feng Liu Yizhou Yu NoLa 58 30 0 05 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 71 24 0 29 Jul 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen Jiaqi Zhao 121 57 0 21 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David Clifton N. Robertson 97 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 73 14 0 27 Jun 2022
To Aggregate or Not? Learning with Separate Noisy Labels Jiaheng Wei Zhaowei Zhu Tianyi Luo Ehsan Amid Abhishek Kumar Yang Liu NoLa 79 40 0 14 Jun 2022
Robust Training under Label Noise by Over-parameterization Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 77 109 0 28 Feb 2022
Identifiability of Label Noise Transition Matrix Yang Liu Hao Cheng Kun Zhang NoLa 114 49 0 04 Feb 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu Jialu Wang Yang Liu NoLa 101 37 0 02 Feb 2022
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations Jiaheng Wei Zhaowei Zhu Weiran Wang Tongliang Liu Gang Niu Yang Liu NoLa 147 262 0 22 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 217 68 0 12 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 243 40 0 12 Oct 2021
Instance-dependent Label-noise Learning under a Structural Causal Model Yu Yao Tongliang Liu Biwei Huang Bo Han Gang Niu Kun Zhang CML NoLa 72 73 0 07 Sep 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial Yang Liu Jialu Wang NoLa 98 20 0 13 Jul 2021
Adaptive Sample Selection for Robust Learning under Label Noise Deep Patel P. Sastry OOD NoLa 108 30 0 29 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 141 73 0 08 Jun 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 234 123 0 04 Feb 2021
A Second-Order Approach to Learning with Instance-Dependent Label Noise Zhaowei Zhu Tongliang Liu Yang Liu NoLa 112 130 0 22 Dec 2020
Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Jiankang Deng Jiatong Li Yinian Mao NoLa 76 11 0 02 Dec 2020
When Optimizing $f$ -divergence is Robust with Label Noise Jiaheng Wei Yang Liu 78 55 0 07 Nov 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 416 525 0 05 Mar 2020