Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks

27 March 2019

Papers citing "Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks"

50 / 176 papers shown

Title
Towards Quantifying the Hessian Structure of Neural Networks Zhaorui Dong Yushun Zhang Zhi-Quan Luo Jianfeng Yao Ruoyu Sun 31 0 0 05 May 2025
Noise-Tolerant Coreset-Based Class Incremental Continual Learning Edison Mucllari Aswin Raghavan Z. Daniels CLL NoLa 146 0 0 23 Apr 2025
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels Seunghun Yu Jin-Hyun Ahn Joonhyuk Kang FedML 48 0 0 08 Apr 2025
Preference VLM: Leveraging VLMs for Scalable Preference-Based Reinforcement Learning Udita Ghosh Dripta S. Raychaudhuri Jiachen Li Konstantinos Karydis A. Roy-Chowdhury VLM 58 0 0 03 Feb 2025
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 152 0 0 01 Dec 2024
Selfish Evolution: Making Discoveries in Extreme Label Noise with the Help of Overfitting Dynamics Nima Sedaghat Tanawan Chatchadanoraset Colin Orion Chandler Ashish Mahabal Maryam Eslami NoLa 91 0 0 26 Nov 2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees Taejong Joo Diego Klabjan UQCV 49 0 0 01 Nov 2024
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods Hossein Taheri Christos Thrampoulidis Arya Mazumdar MLT 36 0 0 13 Oct 2024
Fragile Giants: Understanding the Susceptibility of Models to Subpopulation Attacks Isha Gupta Hidde Lycklama Emanuel Opel Evan Rose Anwar Hithnawi AAML 32 0 0 11 Oct 2024
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond Yingcong Li A. S. Rawat Samet Oymak 25 6 0 13 Jul 2024
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction Yangdi Lu Wenbo He 3DV 40 0 0 23 Jun 2024
Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels Yangdi Lu Wenbo He NoLa 27 0 0 22 Jun 2024
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models Yubin Shi Yixuan Chen Mingzhi Dong Xiaochen Yang Dongsheng Li ... Yingying Zhao Fan Yang Tun Lu Ning Gu L. Shang MoMe 41 4 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
Potential Energy based Mixture Model for Noisy Label Learning Zijia Wang Wenbin Yang Zhisong Liu Zhen Jia NoLa 19 0 0 02 May 2024
Self-Labeling in Multivariate Causality and Quantification for Adaptive Machine Learning Yutian Ren A. Yen G. P. Li CML 50 0 0 08 Apr 2024
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise? Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD UQCV NoLa 31 5 0 02 Apr 2024
Tackling Noisy Labels with Network Parameter Additive Decomposition Jingyi Wang Xiaobo Xia Long Lan Xinghao Wu Jun-chen Yu Wenjing Yang Bo Han Tongliang Liu NoLa 43 8 0 20 Mar 2024
SEVEN: Pruning Transformer Model by Reserving Sentinels Jinying Xiao Ping Li Jie Nie Zhe Tang 33 3 0 19 Mar 2024
Transfer Learning Beyond Bounded Density Ratios Alkis Kalavasis Ilias Zadik Manolis Zampetakis 47 4 0 18 Mar 2024
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning Xiaoyu Liu Beitong Zhou Cheng Cheng 37 3 0 27 Feb 2024
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences Jie Cheng Gang Xiong Xingyuan Dai Q. Miao Yisheng Lv Fei-Yue Wang 33 15 0 27 Feb 2024
FLASH: Federated Learning Across Simultaneous Heterogeneities Xiangyu Chang Sk. Miraj Ahmed S. Krishnamurthy Başak Güler A. Swami Samet Oymak A. Roy-Chowdhury FedML 24 2 0 13 Feb 2024
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels Taehyeon Kim Donggyu Kim SeYoung Yun 17 1 0 08 Feb 2024
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization Yinbin Han Meisam Razaviyayn Renyuan Xu DiffM 51 12 0 28 Jan 2024
Towards End-to-End GPS Localization with Neural Pseudorange Correction Xu Weng KV Ling Haochen Liu Kun Cao 13 2 0 19 Jan 2024
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction Zilin Du Haoxin Li Xu Guo Boyang Li 35 1 0 05 Dec 2023
An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets Maya Srikanth Jeremy Irvin Brian Wesley Hill Felipe Godoy Ishan Sabane Andrew Y. Ng 35 2 0 02 Dec 2023
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection Siqi Wang Chau Pham Bryan A. Plummer NoLa 36 0 0 30 Nov 2023
A Path to Simpler Models Starts With Noise Lesia Semenova Harry Chen Ronald E. Parr Cynthia Rudin 33 15 0 30 Oct 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 62 13 0 25 Sep 2023
BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise Jeroen Galjaard Robert Birke Juan F. Pérez Lydia Y. Chen NoLa 19 0 0 12 Sep 2023
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics Yehonatan Avidan Qianyi Li H. Sompolinsky 60 8 0 08 Sep 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples Suqin Yuan Lei Feng Tongliang Liu NoLa 43 11 0 26 Aug 2023
Feature Noise Boosts DNN Generalization under Label Noise Lu Zeng Xuan Chen Xiaoshuang Shi H. Shen MLT NoLa 22 2 0 03 Aug 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification Mingcai Chen Yu Zhao Zhonghuang Wang Bing He Jianhua Yao 19 2 0 29 Jul 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration Siqi Wang Bryan A. Plummer 26 2 0 20 Jun 2023
Towards Label-free Scene Understanding by Vision Foundation Models Runnan Chen You-Chen Liu Lingdong Kong Nenglun Chen Xinge Zhu Yuexin Ma Tongliang Liu Wenping Wang VLM 31 42 0 06 Jun 2023
On Emergence of Clean-Priority Learning in Early Stopped Neural Networks Chaoyue Liu Amirhesam Abedsoltan M. Belkin NoLa 17 4 0 05 Jun 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels Jian Chen Ruiyi Zhang Tong Yu Rohan Sharma Zhiqiang Xu Tong Sun Changyou Chen DiffM 32 18 0 31 May 2023
Double Descent of Discrepancy: A Task-, Data-, and Model-Agnostic Phenomenon Yi-Xiao Luo Bin Dong 26 0 0 25 May 2023
Sharpness-Aware Data Poisoning Attack Pengfei He Han Xu J. Ren Yingqian Cui Hui Liu Charu C. Aggarwal Jiliang Tang AAML 44 7 0 24 May 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding Tianyang Hu Jiahan Jiang Donghao Li Wenjia Wang Yuan Yao 20 6 0 05 May 2023
Logistic-Normal Likelihoods for Heteroscedastic Label Noise Erik Englesson Amir Mehrpanah Hossein Azizpour NoLa 26 1 0 06 Apr 2023
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability Haoyi Xiong Xuhong Li Bo Yu Zhanxing Zhu Dongrui Wu Dejing Dou NoLa 9 0 0 01 Apr 2023
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency Shuo Yang Zhaopan Xu Kai Wang Yang You H. Yao Tongliang Liu Min Xu 24 27 0 22 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
Penalized Deep Partially Linear Cox Models with Application to CT Scans of Lung Cancer Patients Yumin Sun Jian Kang C. Haridas N. Mayne A. Potter C. Yang D. Christiani Yi Li 12 1 0 09 Mar 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play J. Liu Krishnamurthy Dvijotham Jihyeon Janel Lee Quan Yuan Martin Strobel Balaji Lakshminarayanan Deepak Ramachandran 23 5 0 11 Feb 2023
On student-teacher deviations in distillation: does it pay to disobey? Vaishnavh Nagarajan A. Menon Srinadh Bhojanapalli H. Mobahi Surinder Kumar 43 9 0 30 Jan 2023