On Learning Contrastive Representations for Learning with Noisy Labels

On Learning Contrastive Representations for Learning with Noisy Labels

3 March 2022

Sheng Liu

Papers citing "On Learning Contrastive Representations for Learning with Noisy Labels"

7 / 7 papers shown

Title
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 57 0 0 25 Feb 2025
Multi-level Supervised Contrastive Learning Naghmeh Ghanooni Barbod Pajoum Harshit Rawal Sophie Fellenz Vo Nguyen Le Duy Marius Kloft 86 0 0 04 Feb 2025
Meta-Learning Guided Label Noise Distillation for Robust Signal Modulation Classification Xiaoyang Hao Zhixi Feng Tongqing Peng Shuyuan Yang NoLa 38 5 0 09 Aug 2024
When Source-Free Domain Adaptation Meets Learning with Noisy Labels L. Yi Gezheng Xu Pengcheng Xu Jiaqi Li Ruizhi Pu Charles Ling A. McLeod Boyu Wang 23 39 0 31 Jan 2023
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 32 69 0 08 Jun 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,375 0 09 Mar 2020
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 498 0 05 Mar 2020