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Uncertainty in Contrastive Learning: On the Predictability of Downstream
  Performance

Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance

19 July 2022
Shervin Ardeshir
Navid Azizan
    SSL
    UQCV
ArXivPDFHTML

Papers citing "Uncertainty in Contrastive Learning: On the Predictability of Downstream Performance"

4 / 4 papers shown
Title
Multi-Similarity Contrastive Learning
Multi-Similarity Contrastive Learning
Emily Mu
John Guttag
Maggie Makar
SSL
30
2
0
06 Jul 2023
Quantifying Representation Reliability in Self-Supervised Learning
  Models
Quantifying Representation Reliability in Self-Supervised Learning Models
Young-Jin Park
Hao Wang
Shervin Ardeshir
Navid Azizan
SSL
UQCV
28
3
0
31 May 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
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
285
9,138
0
06 Jun 2015
1