Temperature as Uncertainty in Contrastive Learning

8 October 2021

Papers citing "Temperature as Uncertainty in Contrastive Learning"

7 / 7 papers shown

Title
Adaptive Multi-head Contrastive Learning Lei Wang Piotr Koniusz Tom Gedeon Liang Zheng 30 4 0 09 Oct 2023
Multi-Similarity Contrastive Learning Emily Mu John Guttag Maggie Makar SSL 28 2 0 06 Jul 2023
Quantifying Representation Reliability in Self-Supervised Learning Models Young-Jin Park Hao Wang Shervin Ardeshir Navid Azizan SSL UQCV 21 3 0 31 May 2023
Learning to Scale Temperature in Masked Self-Attention for Image Inpainting Xiang Zhou Yuan Zeng Yi Gong 32 2 0 13 Feb 2023
Establishing a stronger baseline for lightweight contrastive models Wenye Lin Yifeng Ding Zhixiong Cao Haitao Zheng 25 2 0 14 Dec 2022
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015