UNICON: Combating Label Noise Through Uniform Selection and Contrastive
Learning

UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning

28 March 2022

Mamshad Nayeem Rizve

Nazanin Rahnavard

Ajmal Saeed Mian

Papers citing "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

5 / 55 papers shown

Title
Bottleneck Transformers for Visual Recognition A. Srinivas Tsung-Yi Lin Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 265 955 0 27 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 200 501 0 15 Jan 2021
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models Karishma Sharma Pinar E. Donmez Enming Luo Yan Liu I. Z. Yalniz NoLa 55 28 0 15 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 488 0 05 Mar 2020
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017