Robust Loss Functions under Label Noise for Deep Neural Networks

27 December 2017

Papers citing "Robust Loss Functions under Label Noise for Deep Neural Networks"

50 / 143 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 159 0 0 24 Apr 2025
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 37 6 0 03 Apr 2025
Learning with Noisy Labels: the Exploration of Error Bounds in Classification Haixia Liu Boxiao Li Can Yang Yang Wang 41 0 0 28 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
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
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 73 0 0 26 Aug 2024
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification Xiaoyang Hao Zhixi Feng Tongqing Peng Shuyuan Yang NoLa 38 5 0 09 Aug 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 42 0 0 07 Aug 2024
Defending Code Language Models against Backdoor Attacks with Deceptive Cross-Entropy Loss Guang Yang Yu Zhou Xiang Chen Xiangyu Zhang Terry Yue Zhuo David Lo Taolue Chen AAML 52 4 0 12 Jul 2024
Relation Modeling and Distillation for Learning with Noisy Labels Xiaming Chen Junlin Zhang Zhuang Qi Xin Qi NoLa 29 0 0 30 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 51 4 0 07 May 2024
Boosting Single Positive Multi-label Classification with Generalized Robust Loss Yanxi Chen Chunxiao Li Xinyang Dai Jinhuan Li Weiyu Sun Yiming Wang Renyuan Zhang Tinghe Zhang Bo Wang 32 0 0 06 May 2024
Machine Learning-Assisted Thermoelectric Cooling for On-Demand Multi-Hotspot Thermal Management Jiajian Luo Jaeho Lee 33 3 0 20 Apr 2024
Top- $k$ Classification and Cardinality-Aware Prediction Anqi Mao M. Mohri Yutao Zhong 36 7 0 28 Mar 2024
A Bayesian Approach to OOD Robustness in Image Classification Prakhar Kaushik Adam Kortylewski Alan L. Yuille 26 1 0 12 Mar 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction Jianwei Wang Tianyin Wang Ziqian Zeng 56 1 0 28 Feb 2024
Federated Learning with Extremely Noisy Clients via Negative Distillation Yang Lu Lin Chen Yonggang Zhang Yiliang Zhang Bo Han Yiu-ming Cheung Hanzi Wang FedML 33 9 0 20 Dec 2023
Learning with Noisy Low-Cost MOS for Image Quality Assessment via Dual-Bias Calibration Lei Wang Qingbo Wu Desen Yuan K. Ngan Hongliang Li Fanman Meng Linfeng Xu 28 5 0 27 Nov 2023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao M. Mohri Yutao Zhong 26 22 0 23 Oct 2023
Adaptive conformal classification with noisy labels Matteo Sesia Y. X. R. Wang Xin Tong 24 12 0 10 Sep 2023
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery Hengwei Zhao Xinyu Wang Jingtao Li Yanfei Zhong 29 9 0 29 Aug 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 51 13 0 23 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 29 5 0 16 Aug 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
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 26 0 0 14 Jul 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels Chuanyan Hu Shipeng Yan Zhitong Gao Xuming He NoLa 24 4 0 20 Jun 2023
FedNoisy: Federated Noisy Label Learning Benchmark Siqi Liang Jintao Huang Junyuan Hong Dun Zeng Jiayu Zhou Zenglin Xu FedML 40 7 0 20 Jun 2023
ReSup: Reliable Label Noise Suppression for Facial Expression Recognition Xiang Zhang Yan Lu Huan Yan Jingyang Huang Yusheng Ji Yu Gu 33 3 0 29 May 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 32 6 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 31 12 0 22 May 2023
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition Shuzheng Si Zefan Cai Shuang Zeng Guoqiang Feng Jiaxing Lin Baobao Chang 29 4 0 06 May 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 23 85 0 11 Apr 2023
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation Vasileios Sevetlidis George Pavlidis S. Mouroutsos Antonios Gasteratos 25 4 0 21 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
Complementary to Multiple Labels: A Correlation-Aware Correction Approach Yi Gao Miao Xu Min-Ling Zhang 19 0 0 25 Feb 2023
Smoothly Giving up: Robustness for Simple Models Tyler Sypherd Nathan Stromberg Richard Nock Visar Berisha Lalitha Sankar 21 1 0 17 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 23 39 0 31 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 33 5 0 18 Jan 2023
FedDebug: Systematic Debugging for Federated Learning Applications Waris Gill A. Anwar Muhammad Ali Gulzar FedML 31 11 0 09 Jan 2023
Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Approach Cuong C. Nguyen Thanh-Toan Do G. Carneiro NoLa 37 0 0 04 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 55 8 0 02 Jan 2023
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia Xuhong Li Lei Yu Jiang Bian Penghao Zhao Shupeng Li Haoyi Xiong Dejing Dou NoLa 35 5 0 19 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 23 3 0 14 Dec 2022
Sources of Noise in Dialogue and How to Deal with Them Derek Chen Zhou Yu 11 2 0 06 Dec 2022
Model and Data Agreement for Learning with Noisy Labels Yuhang Zhang Weihong Deng Xingchen Cui Yunfeng Yin Hongzhi Shi Dongchao Wen NoLa 34 5 0 02 Dec 2022
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning Yulei Qin Xingyu Chen Chao Chen Yunhang Shen Bohan Ren Yun Gu Jie-jin Yang Chunhua Shen 44 4 0 01 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 26 2 0 01 Dec 2022
Establishment of Neural Networks Robust to Label Noise Pengwei Yang Angel Teng Jack Mangos NoLa 16 0 0 28 Nov 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction Tianyi Wang Jianwei Wang Ziqian Zeng 32 2 0 25 Nov 2022
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels Guanlin Li Guowen Xu Tianwei Zhang NoLa ISeg 21 0 0 24 Nov 2022