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Detecting Corrupted Labels Without Training a Model to Predict

12 October 2021

Zhaowei Zhu

Zihao Dong

Yang Liu

NoLa

ArXiv (abs)PDF HTML Github (74★)

Papers citing "Detecting Corrupted Labels Without Training a Model to Predict"

42 / 42 papers shown

Title
Exploiting the Potential Supervision Information of Clean Samples in Partial Label Learning Guangtai Wang Chi-man Vong Jintao Huang 80 0 0 14 May 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 196 4 0 18 Apr 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 109 2 0 31 Dec 2024
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods Jiamian Hu Yuanyuan Hong Yihua Chen He Wang Moriaki Yasuhara 118 1 0 03 Dec 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark Thomas George Pierre Nodet A. Bondu Vincent Lemaire VLM 72 1 0 21 Oct 2024
LLM Unlearning via Loss Adjustment with Only Forget Data Yaxuan Wang Jiaheng Wei Chris Yuhao Liu Jinlong Pang Qiang Liu A. Shah Yujia Bao Yang Liu Wei Wei KELM MU 154 20 0 14 Oct 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 153 0 0 26 Aug 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond Minghao Liu Zonglin Di Jiaheng Wei Zhongruo Wang Hengxiang Zhang ... Haobo Wang Lei Feng Jindong Wang James Davis Yang Liu 80 13 0 21 Aug 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 108 5 0 19 Aug 2024
LEMoN: Label Error Detection using Multimodal Neighbors Haoran Zhang Aparna Balagopalan Nassim Oufattole Hyewon Jeong Yan Wu Jiacheng Zhu Marzyeh Ghassemi 125 0 0 10 Jul 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection Suyeon Kim Dongha Lee SeongKu Kang Sukang Chae Sanghwan Jang Hwanjo Yu 100 2 0 30 May 2024
On the Noise Robustness of In-Context Learning for Text Generation Hongfu Gao Feipeng Zhang Wenyu Jiang Jun Shu Feng Zheng Hongxin Wei 101 4 0 27 May 2024
Targeted Augmentation for Low-Resource Event Extraction Sijia Wang Lifu Huang 62 2 0 14 May 2024
AFreeCA: Annotation-Free Counting for All Adrian dÁlessandro Ali Mahdavi-Amiri Ghassan Hamarneh DiffM 70 4 0 07 Mar 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning Heesun Bae Seungjae Shin Byeonghu Na Il-Chul Moon NoLa 91 3 0 05 Mar 2024
Measuring and Reducing LLM Hallucination without Gold-Standard Answers Jiaheng Wei Yuanshun Yao Jean-François Ton Hongyi Guo Andrew Estornell Yang Liu HILM 135 26 0 16 Feb 2024
Inconsistency-Based Data-Centric Active Open-Set Annotation Ruiyu Mao Ouyang Xu Yunhui Guo 107 4 0 10 Jan 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood Weisong Yang Rafael Poyiadzi Niall Twomey Raul Santos Rodriguez 58 0 0 15 Dec 2023
An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets Maya Srikanth Jeremy Irvin Brian Wesley Hill Felipe Godoy Ishan Sabane Andrew Y. Ng 91 2 0 02 Dec 2023
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models Zhaowei Zhu Jialu Wang Hao Cheng Yang Liu 82 20 0 19 Nov 2023
Fine tuning Pre trained Models for Robustness Under Noisy Labels Sumyeong Ahn Sihyeon Kim Jongwoo Ko SeYoung Yun AAML NoLa 118 8 0 24 Oct 2023
TK-KNN: A Balanced Distance-Based Pseudo Labeling Approach for Semi-Supervised Intent Classification Nicholas Botzer David Vasquez Tim Weninger I. Laradji 74 0 0 17 Oct 2023
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models Daniele De Sensi Ruotong Wang Salvatore Di Girolamo Bing Wu Torsten Hoefler MLLM 83 5 0 28 Sep 2023
Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise Donna Tjandra Jenna Wiens NoLa 52 4 0 10 Jul 2023
Handwritten Text Recognition from Crowdsourced Annotations Solène Tarride Tristan Faine Mélodie Boillet Harold Mouchère Christopher Kermorvant 82 6 0 19 Jun 2023
The Importance of Human-Labeled Data in the Era of LLMs Yang Liu ALM 75 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 89 13 0 15 Jun 2023
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks Yuwen Li Miao Xiong Bryan Hooi 71 7 0 30 May 2023
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error Renchunzi Xie Hongxin Wei Lei Feng Yuzhou Cao Bo An OODD OOD 54 11 0 27 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 57 7 0 22 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 84 3 0 16 Mar 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu Yue Yu Hejie Cui Xuan Kan Yanqiao Zhu Joyce C. Ho Chao Zhang Carl Yang SSL 108 25 0 10 Jan 2023
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 90 30 0 08 Dec 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
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 49 13 0 19 Aug 2022
Understanding Instance-Level Impact of Fairness Constraints Jialu Wang Xinze Wang Yang Liu TDI FaML 103 34 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
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
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 229 287 0 19 May 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu Jialu Wang Yang Liu NoLa 97 37 0 02 Feb 2022
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 236 40 0 12 Oct 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 369 522 0 05 Mar 2020