Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach

13 September 2016

Papers citing "Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach"

50 / 215 papers shown

Title
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 30 6 0 03 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 55 0 0 01 Apr 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 56 1 0 24 Mar 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 52 0 0 25 Feb 2025
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break Haowen Bai Zixiang Zhao Jiangshe Zhang Yukun Cui Chunxia Zhang Zhenbo Guo Yongjun Wang 54 1 0 03 Feb 2025
Learning with Noisy Labels: the Exploration of Error Bounds in Classification Haixia Liu Boxiao Li Can Yang Yang Wang 31 0 0 28 Jan 2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels Yaxuan Wang Hao Cheng Jing Xiong Qingsong Wen Han Jia Ruixuan Song L. Zhang Zhaowei Zhu Yang Liu AI4TS 52 1 0 21 Jan 2025
Geometric Median (GM) Matching for Robust Data Pruning Anish Acharya Inderjit S Dhillon Sujay Sanghavi AAML 59 0 0 20 Jan 2025
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection Zhipeng Yu Qianqian Xu Yangbangyan Jiang Yingfei Sun Qingming Huang NoLa 69 0 0 19 Jan 2025
An Inclusive Theoretical Framework of Robust Supervised Contrastive Loss against Label Noise Jingyi Cui Yi-Ge Zhang Hengyu Liu Yisen Wang NoLa 43 0 0 03 Jan 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Jun Zhou NoLa CML 160 0 0 18 Dec 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 159 0 0 20 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
Timber! Poisoning Decision Trees Stefano Calzavara Lorenzo Cazzaro Massimo Vettori AAML 25 0 0 01 Oct 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 71 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
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen Tianyu Cao Ninon De Mecquenem Jiahe Li Zhilong Chen F. Friederici Yang Yang 38 1 0 31 Jul 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 33 7 0 24 Jun 2024
Retraining with Predicted Hard Labels Provably Increases Model Accuracy Rudrajit Das Inderjit S Dhillon Alessandro Epasto Adel Javanmard Jieming Mao Vahab Mirrokni Sujay Sanghavi Peilin Zhong 46 1 0 17 Jun 2024
Polyhedral Conic Classifier for CTR Prediction Beyza Türkmen Ramazan Tarik Türksoy Hasan Saribas Hakan Çevikalp 31 0 0 06 Jun 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 43 4 0 07 May 2024
LaneCorrect: Self-supervised Lane Detection Ming-Jun Nie Xinyue Cai Han Xu Li Zhang SSL 62 4 0 23 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
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 21 2 0 09 Jan 2024
Mitigating the Impact of False Negatives in Dense Retrieval with Contrastive Confidence Regularization Shiqi Wang Yeqin Zhang Cam-Tu Nguyen 20 2 0 30 Dec 2023
Pseudo-label Correction for Instance-dependent Noise Using Teacher-student Framework Eugene Kim NoLa 25 0 0 24 Nov 2023
On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts Yixin Wu Ning Yu Michael Backes Yun Shen Yang Zhang DiffM 51 8 0 25 Oct 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 46 13 0 23 Aug 2023
biquality-learn: a Python library for Biquality Learning Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols 14 0 0 18 Aug 2023
Large-scale Fully-Unsupervised Re-Identification Gabriel Bertocco Fernanda A. Andaló Terrance E. Boult Anderson de Rezende Rocha 28 1 0 26 Jul 2023
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions Wenjie Xuan Shanshan Zhao Yu Yao Juhua Liu Tongliang Liu Yixin Chen Bo Du Dacheng Tao NoLa 26 6 0 26 Jul 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 33 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
Robust Feature Learning Against Noisy Labels Tsung-Ming Tai Yun-Jie Jhang Wen-Jyi Hwang NoLa 11 1 0 10 Jul 2023
Validation of the Practicability of Logical Assessment Formula for Evaluations with Inaccurate Ground-Truth Labels Yongquan Yang Hong Bu 21 0 0 06 Jul 2023
MILD: Modeling the Instance Learning Dynamics for Learning with Noisy Labels Chuanyan Hu Shipeng Yan Zhitong Gao Xuming He NoLa 19 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
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
An Investigation of Noise in Morphological Inflection Adam Wiemerslage Changbing Yang Garrett Nicolai Miikka Silfverberg Katharina Kann 17 2 0 26 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 23 12 0 22 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
CLImage: Human-Annotated Datasets for Complementary-Label Learning Hsiu-Hsuan Wang Tan-Ha Mai Nai-Xuan Ye Weiliang Lin Hsuan-Tien Lin 20 1 0 15 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Bayes classifier cannot be learned from noisy responses with unknown noise rates Soham Bakshi Subha Maity NoLa 19 0 0 13 Apr 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 26 6 0 22 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 29 3 0 16 Mar 2023
Collision Cross-entropy for Soft Class Labels and Deep Clustering Z. Zhang Yuri Boykov 13 0 0 13 Mar 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya-Qin Zhang Ivor W. Tsang NoLa BDL 22 8 0 19 Feb 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 33 27 0 14 Feb 2023
Learning from Noisy Crowd Labels with Logics Zhijun Chen Hailong Sun Haoqian He Pengpeng Chen NoLa NAI 22 7 0 13 Feb 2023