PropMix: Hard Sample Filtering and Proportional MixUp for Learning with
Noisy Labels

PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels

22 October 2021

Vasileios Belagiannis

Papers citing "PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels"

16 / 16 papers shown

Title
ANNE: Adaptive Nearest Neighbors and Eigenvector-based Sample Selection for Robust Learning with Noisy Labels F. Cordeiro G. Carneiro NoLa 33 1 0 03 Nov 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 36 0 0 08 Jul 2024
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 30 1 0 25 Oct 2023
Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning Qing Miao Xiaohe Wu Chao Xu Yanli Ji Wangmeng Zuo Yiwen Guo Zhaopeng Meng NoLa 24 2 0 24 Oct 2023
Manifold DivideMix: A Semi-Supervised Contrastive Learning Framework for Severe Label Noise Fahimeh Fooladgar Minh Nguyen Nhat To P. Mousavi Purang Abolmaesumi NoLa 24 4 0 13 Aug 2023
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 28 1 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 17 2 0 20 Mar 2023
Class Prototype-based Cleaner for Label Noise Learning Jingjia Huang Yuanqi Chen Jiashi Feng Xinglong Wu NoLa SSL 11 0 0 21 Dec 2022
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels Brandon Smart G. Carneiro NoLa 15 11 0 17 Oct 2022
Is your noise correction noisy? PLS: Robustness to label noise with two stage detection Paul Albert Eric Arazo Tarun Kirshna Noel E. O'Connor Kevin McGuinness NoLa 19 14 0 10 Oct 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 29 27 0 02 Sep 2022
A Study on the Impact of Data Augmentation for Training Convolutional Neural Networks in the Presence of Noisy Labels E. Santana G. Carneiro F. Cordeiro NoLa 24 6 0 23 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 13 2 0 17 Aug 2022
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets Paul Albert Eric Arazo Noel E. O'Connor Kevin McGuinness 19 8 0 04 Jul 2022
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,367 0 09 Mar 2020
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 278 10,608 0 19 Feb 2017