Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise

14 February 2018

Papers citing "Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise"

50 / 284 papers shown

Title
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 191 0 0 24 Apr 2025
Exploring Video-Based Driver Activity Recognition under Noisy Labels Linjuan Fan Di Wen Kunyu Peng Kailun Yang J.N. Zhang ... Yufan Chen Junwei Zheng Jiamin Wu Xudong Han Rainer Stiefelhagen NoLa 49 0 0 16 Apr 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
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 57 0 0 25 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 47 1 0 05 Feb 2025
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control Peiyan Hu Xiaowei Qian Wenhao Deng Rui Wang Haodong Feng ... Tao Zhang Long Wei Yue Wang Zhi-Ming Ma Tailin Wu AI4CE 120 0 0 04 Feb 2025
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 61 0 0 12 Jan 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Jingyi Cui Yi-Ge Zhang Hengyu Liu Yisen Wang NoLa 48 0 0 03 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 52 2 0 31 Dec 2024
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination Anindya Sundar Das Guansong Pang M. Bhuyan 36 0 0 14 Nov 2024
Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging Rui Luo Jie Bao Zhixin Zhou Chuangyin Dang MedIm AAML 37 5 0 07 Nov 2024
CLIPCleaner: Cleaning Noisy Labels with CLIP Chen Feng Georgios Tzimiropoulos Ioannis Patras VLM 35 2 0 19 Aug 2024
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification Xiaoyang Hao Zhixi Feng Tongqing Peng Shuyuan Yang NoLa 40 5 0 09 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 39 0 0 02 Aug 2024
Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models Xu Han Linghao Jin Xuezhe Ma Xiaofeng Liu AAML 38 3 0 02 Jul 2024
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction Yangdi Lu Wenbo He 3DV 42 0 0 23 Jun 2024
Data Valuation with Gradient Similarity Nathaniel J. Evans Gordon B. Mills Guanming Wu Xubo Song Shannon K. McWeeney TDI 30 1 0 13 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 34 5 0 08 May 2024
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations Zhenxi Song Ruihan Qin Huixia Ren Zhen Liang Yi Guo Min Zhang Zhiguo Zhang 21 1 0 29 Apr 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou Wei Ye Zhemg Lee Rui Xie Shi-Bo Zhang 44 1 0 25 Apr 2024
Trusted Multi-view Learning with Label Noise Cai Xu Yilin Zhang Ziyu Guan Wei Zhao NoLa EDL 55 4 0 18 Apr 2024
Extracting Clean and Balanced Subset for Noisy Long-tailed Classification Zhuo Li He Zhao Zhen Li Tongliang Liu Dandan Guo Xiang Wan NoLa 46 1 0 10 Apr 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 43 1 0 05 Apr 2024
Pairwise Similarity Distribution Clustering for Noisy Label Learning Sihan Bai NoLa 30 0 0 02 Apr 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 51 0 0 04 Mar 2024
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts Yuejiang Liu Alexandre Alahi 36 18 0 23 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation Wei Tao Yucheng Zhou Yanlin Wang Hongyu Zhang Haofen Wang Wenqiang Zhang 24 10 0 16 Jan 2024
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision Collin Burns Pavel Izmailov Jan Hendrik Kirchner Bowen Baker Leo Gao ... Adrien Ecoffet Manas Joglekar Jan Leike Ilya Sutskever Jeff Wu ELM 50 260 0 14 Dec 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels Wanxing Chang Ye-ling Shi Jingya Wang OT 38 12 0 11 Dec 2023
Trustworthy Large Models in Vision: A Survey Ziyan Guo Li Xu Jun Liu MU 66 0 0 16 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 68 20 0 02 Nov 2023
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances Zhendong Chu Ruiyi Zhang Tong Yu R. Jain Vlad I. Morariu Jiuxiang Gu A. Nenkova NoLa 30 2 0 25 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 30 10 0 04 Oct 2023
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic Yuqi Qing Qilei Yin Xinhao Deng Yihao Chen Zhuotao Liu Kun Sun Ke Xu Jia Zhang Qi Li AAML 21 17 0 09 Sep 2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning Mengliang Zhang Xinyue Hu Lin Gu Liangchen Liu Kazuma Kobayashi Tatsuya Harada Ronald M. Summers Yingying Zhu 31 3 0 06 Sep 2023
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols OOD 42 0 0 29 Aug 2023
biquality-learn: a Python library for Biquality Learning Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols 14 0 0 18 Aug 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise Fahimeh Fooladgar Minh Nguyen Nhat To P. Mousavi Purang Abolmaesumi NoLa 32 4 0 13 Aug 2023
DOST -- Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels Soumadeep Saha Utpal Garain Arijit Ukil A. Pal Sundeep Khandelwal 20 1 0 09 Aug 2023
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning Xindi Wang Yufei Wang Can Xu Xiubo Geng Bowen Zhang Chongyang Tao Frank Rudzicz Robert E. Mercer Daxin Jiang 33 11 0 28 Jul 2023
Label Noise: Correcting a Correction William Toner Amos Storkey NoLa 17 0 0 24 Jul 2023
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? Cheng-En Wu Yu Tian Haichao Yu Heng Wang Pedro Morgado Yu Hen Hu Linjie Yang NoLa VPVLM VLM 37 18 0 22 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 41 15 0 21 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence Xia Huang Kai Fong Ernest Chong 42 2 0 19 Jul 2023
Evaluating AI systems under uncertain ground truth: a case study in dermatology David Stutz A. Cemgil Abhijit Guha Roy Tatiana Matejovicova Melih Barsbey ... Yossi Matias Pushmeet Kohli Yun-Hui Liu Arnaud Doucet Alan Karthikesalingam 33 4 0 05 Jul 2023
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair Hongxu Yin Maying Shen Pavlo Molchanov J. Álvarez 40 10 0 25 Jun 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration Siqi Wang Bryan A. Plummer 29 2 0 20 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 29 6 0 15 Jun 2023