Early Stopping Against Label Noise Without Validation Data

Early Stopping Against Label Noise Without Validation Data

11 February 2025

Papers citing "Early Stopping Against Label Noise Without Validation Data"

10 / 10 papers shown

Title
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Kuan Zhang Chengliang Chai Jingzhe Xu Chi Zhang Ye Yuan Guoren Wang Lei Cao NoLa 51 0 0 01 May 2025
crowd-hpo: Realistic Hyperparameter Optimization and Benchmarking for Learning from Crowds with Noisy Labels M. Herde Lukas Lührs Denis Huseljic Bernhard Sick 22 0 0 12 Apr 2025
Robust Classification with Noisy Labels Based on Posterior Maximization Nicola Novello Andrea M. Tonello NoLa 43 0 0 09 Apr 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 66 0 0 19 Jan 2025
NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries Tao Wu Chuhao Zhou Yen Heng Wong Lin Gu Jianfei Yang 74 1 0 14 Dec 2024
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods Jiamian Hu Yuanyuan Hong Yihua Chen He Wang Moriaki Yasuhara 56 0 0 03 Dec 2024
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans M. Herde Denis Huseljic Lukas Rauch Bernhard Sick 19 1 0 30 Jul 2024
Annot-Mix: Learning with Noisy Class Labels from Multiple Annotators via a Mixup Extension M. Herde Lukas Lührs Denis Huseljic Bernhard Sick 21 3 0 06 May 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 36 2 0 04 Mar 2024
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models Zhaowei Zhu Jialu Wang Hao Cheng Yang Liu 11 14 0 19 Nov 2023