Learning with Noisy Labels Using Collaborative Sample Selection and
Contrastive Semi-Supervised Learning

Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning

24 October 2023

Wangmeng Zuo

Papers citing "Learning with Noisy Labels Using Collaborative Sample Selection and Contrastive Semi-Supervised Learning"

5 / 5 papers shown

Title
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 322 2,108 0 02 Sep 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 2,875 0 11 Feb 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
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 235 3,029 0 09 Mar 2020
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 41 170 0 24 May 2019