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Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

5 October 2020

Zhaowei Zhu

Yang Liu

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Papers citing "Learning with Instance-Dependent Label Noise: A Sample Sieve Approach"

50 / 131 papers shown

Title
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration Siqi Wang Bryan A. Plummer 87 2 0 20 Jun 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels Chuanyan Hu Shipeng Yan Zhitong Gao Xuming He NoLa 82 5 0 20 Jun 2023
The Importance of Human-Labeled Data in the Era of LLMs Yang Liu ALM 79 10 0 18 Jun 2023
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
Learning on Graphs under Label Noise Jingyang Yuan Xiao Luo Yifang Qin Yusheng Zhao Wei Ju Ming Zhang NoLa 78 22 0 14 Jun 2023
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal Anastasiia Sedova Lena Zellinger Benjamin Roth 51 3 0 07 Jun 2023
Binary Classification with Instance and Label Dependent Label Noise H. Im Paul Grigas NoLa 108 2 0 06 Jun 2023
Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization Shahana Ibrahim Tri Nguyen Xiao Fu 80 19 0 05 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 95 1 0 31 May 2023
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling Yuchen Zhuang Yue Yu Lingkai Kong Xiang Chen Chao Zhang NoLa SyDa AI4CE 110 13 0 30 May 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 75 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 116 13 0 22 May 2023
Human-annotated label noise and their impact on ConvNets for remote sensing image scene classification Long Peng T. Wei Xuehong Chen Xiaobei Chen Rui Sun L. Wan Jin Chen Xiaolin Zhu NoLa 42 3 0 20 May 2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning Hanwen Deng Weijia Zhang Min-Ling Zhang NoLa 66 0 0 10 May 2023
A Curriculum View of Robust Loss Functions Zebin Ou Yue Zhang NoLa 77 0 0 03 May 2023
NewsPanda: Media Monitoring for Timely Conservation Action Sedrick Scott Keh Z. Shi David J. Patterson N. Bhagabati Karun Dewan ... Pablo R. Izquierdo D. Mallick Ambika Sharma Pooja Shrestha Fei Fang 86 6 0 30 Apr 2023
Collaborative Noisy Label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in Movies Bei Gan Xiujun Shu Ruizhi Qiao Haoqian Wu Keyun Chen Hanjun Li Bohan Ren 53 5 0 26 Mar 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 68 7 0 22 Mar 2023
Fine-Grained Classification with Noisy Labels Qinglai Wei Lei Feng Haoliang Sun Ren Wang Chenhui Guo Yilong Yin NoLa 167 24 0 04 Mar 2023
When does Privileged Information Explain Away Label Noise? Guillermo Ortiz-Jiménez Mark Collier Anant Nawalgaria Alexander DÁmour Jesse Berent Rodolphe Jenatton E. Kokiopoulou NoLa 213 7 0 03 Mar 2023
Confidence-based Reliable Learning under Dual Noises Peng Cui Yang Yue Zhijie Deng Jun Zhu NoLa 40 8 0 10 Feb 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels L. Yi Gezheng Xu Pengcheng Xu Jiaqi Li Ruizhi Pu Charles Ling A. McLeod Boyu Wang 102 41 0 31 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 94 5 0 18 Jan 2023
Instance-specific Label Distribution Regularization for Learning with Label Noise Zehui Liao Shishuai Hu Yutong Xie Yong-quan Xia NoLa 64 1 0 16 Dec 2022
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei Huiping Zhuang Renchunzi Xie Lei Feng Gang Niu Bo An Yixuan Li VLM NoLa 108 30 0 08 Dec 2022
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels Huaxi Huang Hui-Sung Kang Sheng Liu Olivier Salvado Thierry Rakotoarivelo Dadong Wang Tongliang Liu NoLa 90 7 0 07 Dec 2022
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification De Cheng Haichun Tai N. Wang Zhen Wang Xinbo Gao 88 3 0 30 Nov 2022
Blind Knowledge Distillation for Robust Image Classification Timo Kaiser Lukas Ehmann Christoph Reinders Bodo Rosenhahn NoLa 67 13 0 21 Nov 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 82 4 0 20 Nov 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 99 10 0 21 Oct 2022
Label Noise-Robust Learning using a Confidence-Based Sieving Strategy Reihaneh Torkzadehmahani Reza Nasirigerdeh Daniel Rueckert Georgios Kaissis NoLa 101 7 0 11 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 92 4 0 11 Oct 2022
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training Dan Qiao Chenchen Dai Yuyang Ding Juntao Li Qiang Chen Wenliang Chen Hao Fei VLM NoLa 76 10 0 10 Oct 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu Yuanshun Yao Jiankai Sun Hanguang Li Yang Liu 91 24 0 06 Oct 2022
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization Qinglai Wei Haoliang Sun Xiankai Lu Yilong Yin NoLa 49 45 0 24 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 23 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 113 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 90 6 0 30 Jun 2022
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets Hongxin Wei Lue Tao Renchunzi Xie Lei Feng Bo An OODD 64 39 0 17 Jun 2022
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise Jongwoo Ko Bongsoo Yi Se-Young Yun NoLa 66 5 0 15 Jun 2022
To Aggregate or Not? Learning with Separate Noisy Labels Jiaheng Wei Zhaowei Zhu Tianyi Luo Ehsan Amid Abhishek Kumar Yang Liu NoLa 77 40 0 14 Jun 2022
Training Subset Selection for Weak Supervision Hunter Lang Aravindan Vijayaraghavan David Sontag NoLa 92 23 0 06 Jun 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De Cheng Tongliang Liu Yixiong Ning Nannan Wang Bo Han Gang Niu Xinbo Gao Masashi Sugiyama NoLa 82 66 0 06 Jun 2022
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning Jiahui Gao Renjie Pi Yong Lin Hang Xu Jiacheng Ye Zhiyong Wu Weizhong Zhang Xiaodan Liang Zhenguo Li Lingpeng Kong SyDa VLM 158 49 0 25 May 2022
Noise-Tolerant Learning for Audio-Visual Action Recognition Haocheng Han Qinghua Zheng Minnan Luo Kaiyao Miao Feng Tian Yuanchun Chen NoLa 100 9 0 16 May 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model Heesun Bae Seung-Jae Shin Byeonghu Na Joonho Jang Kyungwoo Song Il-Chul Moon NoLa 122 26 0 02 May 2022
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li Xiaobo Xia Shiming Ge Tongliang Liu NoLa 92 178 0 08 Mar 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
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 61 0 0 26 Feb 2022
Identifiability of Label Noise Transition Matrix Yang Liu Hao Cheng Kun Zhang NoLa 101 48 0 04 Feb 2022