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Probabilistic Contrastive Learning with Explicit Concentration on the
  Hypersphere

Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere

26 May 2024
H. Li
Ouyang Cheng
Tamaz Amiranashvili
Matthew S. Rosen
Bjoern H. Menze
J. Iglesias
ArXivPDFHTML

Papers citing "Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere"

4 / 4 papers shown
Title
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu
Dong Gong
Shuo Wang
Jason Xue
Lina Yao
Kristen Moore
OODD
47
22
0
05 Feb 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1