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fairDMS: Rapid Model Training by Data and Model Reuse

fairDMS: Rapid Model Training by Data and Model Reuse

20 April 2022
Ahsan Ali
Hemant Sharma
R. Kettimuthu
Peter Kenesei
Dennis Trujillo
Antonino Miceli
Ian T. Foster
Ryan N. Coffee
Jana Thayer
Zhengchun Liu
    MU
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Papers citing "fairDMS: Rapid Model Training by Data and Model Reuse"

3 / 3 papers shown
Title
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
279
0
12 Feb 2021
funcX: A Federated Function Serving Fabric for Science
funcX: A Federated Function Serving Fabric for Science
Ryan Chard
Y. Babuji
Zhuozhao Li
Tyler J. Skluzacek
A. Woodard
B. Blaiszik
Ian T. Foster
Kyle Chard
33
187
0
07 May 2020
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
261
9,134
0
06 Jun 2015
1