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Improving Transferability of Deep Neural Networks

Improving Transferability of Deep Neural Networks

30 July 2018
Parijat Dube
Bishwaranjan Bhattacharjee
Elisabeth Petit-Bois
Matthew Q. Hill
ArXiv (abs)PDFHTML

Papers citing "Improving Transferability of Deep Neural Networks"

3 / 3 papers shown
Title
Transfer Learning with Uncertainty Quantification: Random Effect
  Calibration of Source to Target (RECaST)
Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST)
Jimmy Hickey
Jonathan P. Williams
Emily C. Hector
UQCVBDL
177
5
0
29 Nov 2022
Turning the information-sharing dial: efficient inference from different
  data sources
Turning the information-sharing dial: efficient inference from different data sourcesElectronic Journal of Statistics (EJS), 2022
Emily C. Hector
Ryan Martin
265
7
0
18 Jul 2022
G2L: A Geometric Approach for Generating Pseudo-labels that Improve
  Transfer Learning
G2L: A Geometric Approach for Generating Pseudo-labels that Improve Transfer Learning
J. Kender
Bishwaranjan Bhattacharjee
Parijat Dube
Brian M. Belgodere
129
0
0
07 Jul 2022
1