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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
On Symmetric Losses for Robust Policy Optimization with Noisy Preferences Soichiro Nishimori Yu Zhang Thanawat Lodkaew Masashi Sugiyama NoLa 39 0 0 30 May 2025
Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement Liqin Ye Agam Shah Chao Zhang Sudheer Chava 81 0 0 26 May 2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data Weiran Pan Wei Wei Feida Zhu Yong Deng NoLa 589 0 0 24 Apr 2025
Robust Classification with Noisy Labels Based on Posterior Maximization Nicola Novello Andrea M. Tonello NoLa 93 0 0 09 Apr 2025
Corporate Fraud Detection in Rich-yet-Noisy Financial Graph Shiqi Wang Zhibo Zhang Libing Fang Cam-Tu Nguyen Wenzhon Li 140 0 0 26 Feb 2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning Hanxuan Wang Na Lu Xueying Zhao Yuxuan Yan Kaipeng Ma Kwoh Chee Keong Gustavo Carneiro NoLa 117 0 0 22 Feb 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 279 19 0 11 Feb 2025
Open set label noise learning with robust sample selection and margin-guided module Yuandi Zhao Qianxi Xia Yang Sun Zhijie Wen Liyan Ma Shihui Ying NoLa 94 0 0 08 Jan 2025
Learning Locally, Revising Globally: Global Reviser for Federated Learning with Noisy Labels Yuxin Tian Mouxing Yang Yuhao Zhou Jian Wang Qing Ye Tongliang Liu Gang Niu Jiancheng Lv FedML 148 0 0 30 Nov 2024
Label Noise: Ignorance Is Bliss Yilun Zhu Jianxin Zhang Aditya Gangrade Clayton Scott NoLa 94 2 0 31 Oct 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
DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification Junzhou Chen Zirui Zhang Jing Yu Heqiang Huang Ronghui Zhang Xuemiao Xu Bin Sheng Hong Yan Mamba 110 1 0 09 Sep 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 82 13 0 21 Aug 2024
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification Hongfei Huang Tingting Liang Xixi Sun Zikang Jin Yuyu Yin NoLa 77 1 0 09 Jul 2024
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling Nabeel Seedat Nicolas Huynh F. Imrie Mihaela van der Schaar 69 3 0 19 Jun 2024
Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation Dong Zhao Shuang Wang Qi Zang Licheng Jiao N. Sebe Zhun Zhong 119 2 0 10 Jun 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection Suyeon Kim Dongha Lee SeongKu Kang Sukang Chae Sanghwan Jang Hwanjo Yu 105 2 0 30 May 2024
Improving Label Error Detection and Elimination with Uncertainty Quantification Johannes Jakubik Michael Vossing M. Maskey Christopher Wolfle G. Satzger 45 0 0 15 May 2024
Targeted Augmentation for Low-Resource Event Extraction Sijia Wang Lifu Huang 67 2 0 14 May 2024
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning Rui Zhao Bin Shi Jianfei Ruan Tianze Pan Bo Dong NoLa 67 6 0 08 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 93 4 0 07 May 2024
Trusted Multi-view Learning with Label Noise Cai Xu Yilin Zhang Ziyu Guan Wei Zhao NoLa EDL 114 4 0 18 Apr 2024
Coordinated Sparse Recovery of Label Noise Yukun Yang Naihao Wang Haixin Yang Ruirui Li NoLa 104 0 0 07 Apr 2024
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning Xinyuan Ji Zhaowei Zhu Wei Xi Olga Gadyatskaya Zilong Song Yong Cai Yang Liu FedML 95 8 0 25 Mar 2024
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels Haocheng Han Minnan Luo Huan Liu Fang Nan 77 0 0 20 Mar 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning Heesun Bae Seungjae Shin Byeonghu Na Il-Chul Moon NoLa 96 3 0 05 Mar 2024
Label-Noise Robust Diffusion Models Byeonghu Na Yeongmin Kim Heesun Bae Jung Hyun Lee Seho Kwon Wanmo Kang Il-Chul Moon NoLa DiffM 112 8 0 27 Feb 2024
Measuring and Reducing LLM Hallucination without Gold-Standard Answers Jiaheng Wei Yuanshun Yao Jean-François Ton Hongyi Guo Andrew Estornell Yang Liu HILM 137 26 0 16 Feb 2024
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies Hao Cheng Qingsong Wen Yang Liu Liang Sun OOD AI4TS 55 7 0 03 Feb 2024
Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels Qinglai Wei Lei Feng Haobo Wang Bo An NoLa 99 1 0 24 Jan 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels Chen-Chen Zong Ye-Wen Wang Ming-Kun Xie Sheng-Jun Huang 79 5 0 13 Jan 2024
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance Dongyu Zhang Ruofan Hu Elke A. Rundensteiner 77 0 0 10 Jan 2024
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 55 3 0 09 Jan 2024
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization Shiqi Wang Yeqin Zhang Cam-Tu Nguyen 93 2 0 30 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 109 9 0 13 Dec 2023
Regroup Median Loss for Combating Label Noise Fengpeng Li Kemou Li Jinyu Tian Jiantao Zhou NoLa 74 5 0 11 Dec 2023
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models Zhaowei Zhu Jialu Wang Hao Cheng Yang Liu 96 20 0 19 Nov 2023
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance Song Wang Zhen Tan Ruocheng Guo Wenlin Yao NoLa 63 23 0 02 Nov 2023
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy Dongmin Park Seola Choi Doyoung Kim Hwanjun Song Jae-Gil Lee NoLa 125 22 0 02 Nov 2023
Fine tuning Pre trained Models for Robustness Under Noisy Labels Sumyeong Ahn Sihyeon Kim Jongwoo Ko SeYoung Yun AAML NoLa 121 8 0 24 Oct 2023
Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels Ke Wang Guillermo Ortiz-Jimenez Rodolphe Jenatton Mark Collier Efi Kokiopoulou Pascal Frossard AAML 77 2 0 10 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 91 5 0 28 Sep 2023
Multi-Label Noise Transition Matrix Estimation with Label Correlations: Theory and Algorithm Shikun Li Xiaobo Xia Han Zhang Shiming Ge Tongliang Liu NoLa 63 0 0 22 Sep 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 84 21 0 16 Sep 2023
Towards Reliable Dermatology Evaluation Benchmarks Fabian Gröger Simone Lionetti Philippe Gottfrois Alvaro Gonzalez-Jimenez Matthew Groh Roxana Daneshjou Labelling Consortium Alexander A. Navarini Marc Pouly 89 5 0 13 Sep 2023
$The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track$ The Sound Demixing Challenge 2023 $\unicode{x2013}$ Music Demixing Track Giorgio Fabbro Stefan Uhlich Chieh-Hsin Lai Woosung Choi Marco A. Martínez-Ramírez ... Jun Hyung Lee Yuanliang Dong Xinran Zhang Jiafeng Liu Yuki Mitsufuji 124 23 0 14 Aug 2023
Partial Label Supervision for Agnostic Generative Noisy Label Learning Fengbei Liu Chong Wang Yuanhong Chen Yuyuan Liu G. Carneiro NoLa 84 1 0 02 Aug 2023
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective Renyu Zhu Haoyu Liu Runze Wu Min-Hsien Lin Tangjie Lv Changjie Fan Haobo Wang NoLa 73 1 0 28 Jul 2023
Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels Hui-Sung Kang Sheng Liu Huaxi Huang Jun Yu Bo Han Dadong Wang Tongliang Liu NoLa 90 4 0 11 Jul 2023
Leveraging an Alignment Set in Tackling Instance-Dependent Label Noise Donna Tjandra Jenna Wiens NoLa 52 4 0 10 Jul 2023