Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise

10 December 2020

Pheng-Ann Heng

Papers citing "Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise"

50 / 66 papers shown

Title
Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback Yutao Yang Jie Zhou Junsong Li Qianjun Pan Bihao Zhan Qin Chen Xipeng Qiu Liang He CLL 21 0 0 15 May 2025
ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation Sheng Lian Dengfeng Pan Jianlong Cai Guang-Yong Chen Zhun Zhong Zhiming Luo Shen Zhao Shuo Li 36 0 0 04 Apr 2025
Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography A. Gu Michael Y. Tsang H. Vaseli Teresa Tsang Purang Abolmaesumi 30 2 0 15 Sep 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 27 1 0 19 Aug 2024
Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction Po-Hsuan Huang Chia-Ching Lin Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen NoLa 21 0 0 10 Jul 2024
Learning to Complement and to Defer to Multiple Users Zheng Zhang Wenjie Ai Kevin Wells David Rosewarne Thanh-Toan Do Gustavo Carneiro 41 0 0 09 Jul 2024
NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification Hongfei Huang Tingting Liang Xixi Sun Zikang Jin Yuyu Yin NoLa 37 1 0 09 Jul 2024
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions Trenton Chang Jenna Wiens 32 0 0 27 Jun 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 36 7 0 24 Jun 2024
Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels Yangdi Lu Wenbo He NoLa 22 0 0 22 Jun 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis Junlin Hou Jilan Xu Rui Feng Hao Chen 23 0 0 08 Apr 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 40 1 0 05 Apr 2024
Pairwise Similarity Distribution Clustering for Noisy Label Learning Sihan Bai NoLa 22 0 0 02 Apr 2024
Skeleton-Based Human Action Recognition with Noisy Labels Yi Xu Kunyu Peng Di Wen Ruiping Liu Junwei Zheng Yufan Chen Jiaming Zhang Alina Roitberg Kailun Yang Rainer Stiefelhagen NoLa 46 3 0 15 Mar 2024
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning Zijun Long Lipeng Zhuang George Killick R. McCreadie Gerardo Aragon Camarasa Paul Henderson NoLa 30 1 0 10 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity Ying-Hsuan Wu Jun-Wei Hsieh Li Xin Shin-You Teng Yi-Kuan Hsieh Ming-Ching Chang NoLa 44 0 0 04 Mar 2024
Understanding the Effect of Noise in LLM Training Data with Algorithmic Chains of Thought Alex Havrilla Maia Iyer 19 7 0 06 Feb 2024
Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection Kwang-seok Ryoo Yeonsik Jo Seungjun Lee Mira Kim Ahra Jo S. Kim Seungryong Kim Soonyoung Lee NoLa 21 1 0 21 Dec 2023
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise Nannan Wu Zhaobin Sun Zengqiang Yan Li Yu FedML 22 11 0 20 Dec 2023
Federated Learning with Instance-Dependent Noisy Label Lei Wang Jieming Bian Jie Xu FedML 22 10 0 16 Dec 2023
Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise Hwanjun Song Minseok Kim Jae-Gil Lee 44 7 0 12 Dec 2023
Elucidating and Overcoming the Challenges of Label Noise in Supervised Contrastive Learning Zijun Long George Killick Lipeng Zhuang R. McCreadie Gerardo Aragon Camarasa Paul Henderson 22 5 0 25 Nov 2023
Pseudo-label Correction for Instance-dependent Noise Using Teacher-student Framework Eugene Kim NoLa 25 0 0 24 Nov 2023
Learning to Complement with Multiple Humans Zheng Zhang Cuong C. Nguyen Kevin Wells Thanh-Toan Do Gustavo Carneiro 19 0 0 22 Nov 2023
Noise in Relation Classification Dataset TACRED: Characterization and Reduction Akshay Parekh Ashish Anand Amit Awekar 8 0 0 21 Nov 2023
InstanT: Semi-supervised Learning with Instance-dependent Thresholds Muyang Li Runze Wu Haoyu Liu Jun-chen Yu Xun Yang Bo Han Tongliang Liu 29 17 0 29 Oct 2023
Generating the Ground Truth: Synthetic Data for Label Noise Research Sjoerd de Vries Dirk Thierens NoLa 19 0 0 08 Sep 2023
FPR Estimation for Fraud Detection in the Presence of Class-Conditional Label Noise Justin Tittelfitz 29 0 0 04 Aug 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 13 4 0 11 Jul 2023
Binary Classification with Instance and Label Dependent Label Noise H. Im Paul Grigas NoLa 25 2 0 06 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 28 1 0 31 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 32 14 0 28 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 34 21 0 24 May 2023
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing Tingting Wu Xiao Ding Minji Tang Haotian Zhang Bing Qin Ting Liu NoLa 26 9 0 18 May 2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning Hanwen Deng Weijia Zhang Min-Ling Zhang NoLa 30 0 0 10 May 2023
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise Heterogeneity Nannan Wu Li Yu Xue Jiang Kwang-Ting Cheng Zengqiang Yan FedML 28 36 0 09 May 2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification Youngwook Kim Jae Myung Kim Ji-Eun Jeong Cordelia Schmid Zeynep Akata Jungwook Lee 21 7 0 04 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 27 6 0 21 Mar 2023
Counterfactual Prediction Under Outcome Measurement Error Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu 21 15 0 22 Feb 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning Jiayi Han Longbin Zeng Liang Du Weiyang Ding Jianfeng Feng OOD TTA 19 13 0 15 Jan 2023
Learning to Detect Noisy Labels Using Model-Based Features Zhihao Wang Zongyu Lin Peiqi Liu Guidong Zheng Jun-Hao Wen Xianxin Chen Yujun Chen Zhilin Yang NoLa 12 3 0 28 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 18 29 0 08 Dec 2022
SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels Daehwan Kim Kwang-seok Ryoo Hansang Cho Seung Wook Kim NoLa 24 3 0 20 Nov 2022
Contrastive Credibility Propagation for Reliable Semi-Supervised Learning Brody Kutt Pralay Ramteke Xavier Mignot P. Toman Nandini Ramanan Sujit Rokka Chhetri Shan Huang Min Du W. Hewlett 28 0 0 17 Nov 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao W. Wang C. Yuan 21 3 0 11 Oct 2022
Regularizing Neural Network Training via Identity-wise Discriminative Feature Suppression Avraham Chapman Lingqiao Liu 11 1 0 29 Sep 2022
Robust Product Classification with Instance-Dependent Noise Huy-Thanh Nguyen Devashish Khatwani NoLa 26 8 0 14 Sep 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 13 2 0 17 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 22 22 0 29 Jul 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 38 21 0 25 May 2022