Dissecting Supervised Contrastive Learning

Dissecting Supervised Contrastive Learning

17 February 2021

Christoph Hofer

Marc Niethammer

Papers citing "Dissecting Supervised Contrastive Learning"

11 / 11 papers shown

Title
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 56 0 0 25 Apr 2025
Cell-ontology guided transcriptome foundation model Xinyu Yuan Zhihao Zhan Zuobai Zhang Manqi Zhou Jianan Zhao Boyu Han Yue Li Jian Tang 47 1 0 22 Aug 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong kyu Lee Qiuchen Zhang Carl Yang Jian Lou Li Xiong MU SSL 19 4 0 19 Jan 2024
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 22 8 0 24 Oct 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm Haizhou Shi Hao Wang CLL 32 18 0 18 Oct 2023
Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method Siwei Wang S. Palmer 19 2 0 19 May 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi X. Zhang Jiaya Jia 129 45 0 03 Jan 2023
Contrastive learning for regression in multi-site brain age prediction C. Barbano Benoit Dufumier Edouard Duchesnay Marco Grangetto Pietro Gori 16 14 0 14 Nov 2022
Self-supervised Co-training for Video Representation Learning Tengda Han Weidi Xie Andrew Zisserman SSL 215 308 0 19 Oct 2020
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 164 684 0 10 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020