LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment

6 March 2021

F. Cordeiro

Ragav Sachdeva

Vasileios Belagiannis

Papers citing "LongReMix: Robust Learning with High Confidence Samples in a Noisy Label Environment"

33 / 33 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 66 0 0 01 May 2025
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization Siqi Wang Aoming Liu Bryan A. Plummer OOD 41 0 0 03 Apr 2025
Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection Zhengyuan Yang Kehan Wang Yuhang Ming Yong Peng Han Yang Qiong Chen Wanzeng Kong 80 0 0 12 Feb 2025
Open set label noise learning with robust sample selection and margin-guided module Yuandi Zhao Qianxi Xia Yang Sun Zhijie Wen Liyan Ma Shihui Ying NoLa 49 0 0 08 Jan 2025
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels F. Cordeiro G. Carneiro NoLa 45 1 0 03 Nov 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark Thomas George Pierre Nodet A. Bondu Vincent Lemaire VLM 35 0 0 21 Oct 2024
Vision-Language Models are Strong Noisy Label Detectors Tong Wei Yiming Li Chun-Shu Li Jiang-Xin Shi Yu-Feng Li Min-Ling Zhang VLM 34 3 0 29 Sep 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 42 0 0 07 Aug 2024
Tails Tell Tales: Chapter-Wide Manga Transcriptions with Character Names Ragav Sachdeva Gyungin Shin Andrew Zisserman 29 4 0 01 Aug 2024
Learning to Complement and to Defer to Multiple Users Zheng Zhang Wenjie Ai Kevin Wells David Rosewarne Thanh-Toan Do Gustavo Carneiro 53 0 0 09 Jul 2024
An accurate detection is not all you need to combat label noise in web-noisy datasets Paul Albert Jack Valmadre Eric Arazo Tarun Krishna Noel E. O'Connor Kevin McGuinness AAML 49 0 0 08 Jul 2024
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction Yangdi Lu Wenbo He 3DV 42 0 0 23 Jun 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 43 1 0 05 Apr 2024
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning Yixuan Zhang Boyu Li Zenan Ling Feng Zhou FaML 16 3 0 14 Dec 2023
A Unified Framework for Connecting Noise Modeling to Boost Noise Detection Siqi Wang Chau Pham Bryan A. Plummer NoLa 44 0 0 30 Nov 2023
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration Siqi Wang Bryan A. Plummer 29 2 0 20 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 38 18 0 31 May 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro 22 2 0 20 Mar 2023
Robust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking Jinyang Wang Tao Wang Min Gan G. Hadjichristofi 18 2 0 14 Jan 2023
Class Prototype-based Cleaner for Label Noise Learning Jingjia Huang Yuanqi Chen Jiashi Feng Xinglong Wu NoLa SSL 21 0 0 21 Dec 2022
ProMix: Combating Label Noise via Maximizing Clean Sample Utility Rui Xiao Yiwen Dong Haobo Wang Lei Feng Runze Wu Gang Chen J. Zhao 24 54 0 21 Jul 2022
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels Kaidi Wang Xiang Peng Shuo Yang Jianfei Yang Zheng Hua Zhu Xinchao Wang Yang You NoLa 11 8 0 30 Apr 2022
Uni4Eye: Unified 2D and 3D Self-supervised Pre-training via Masked Image Modeling Transformer for Ophthalmic Image Classification Zhiyuan Cai Li Lin Huaqing He Xiaoying Tang ViT MedIm 13 28 0 09 Mar 2022
Learning with Neighbor Consistency for Noisy Labels Ahmet Iscen Jack Valmadre Anurag Arnab Cordelia Schmid NoLa 41 75 0 04 Feb 2022
Sample Prior Guided Robust Model Learning to Suppress Noisy Labels Wenkai Chen Chuang Zhu Yi Chen Mengting Li Tiejun Huang NoLa 19 11 0 02 Dec 2021
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning Xin Zhang Zixuan Liu Kaiwen Xiao Tian Shen Junzhou Huang Wei Yang Dimitris Samaras Xiao Han NoLa 55 4 0 23 Nov 2021
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 27 18 0 22 Nov 2021
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 104 34 0 08 Nov 2021
ScanMix: Learning from Severe Label Noise via Semantic Clustering and Semi-Supervised Learning Ragav Sachdeva F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 31 34 0 21 Mar 2021
FINE Samples for Learning with Noisy Labels Taehyeon Kim Jongwoo Ko Sangwook Cho J. Choi Se-Young Yun NoLa 38 103 0 23 Feb 2021
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning Zhuowei Wang Jing Jiang Bo Han Lei Feng Bo An Gang Niu Guodong Long NoLa 33 17 0 02 Dec 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 264 1,275 0 06 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 310 10,621 0 19 Feb 2017