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P2L: Predicting Transfer Learning for Images and Semantic Relations

P2L: Predicting Transfer Learning for Images and Semantic Relations

20 August 2019
Bishwaranjan Bhattacharjee
J. Kender
Matthew Q. Hill
Parijat Dube
Siyu Huo
Michael R. Glass
Brian M. Belgodere
Sharath Pankanti
Noel Codella
Patrick Watson
    VLM
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Papers citing "P2L: Predicting Transfer Learning for Images and Semantic Relations"

4 / 4 papers shown
Title
Which Model to Transfer? Finding the Needle in the Growing Haystack
Which Model to Transfer? Finding the Needle in the Growing Haystack
Cédric Renggli
André Susano Pinto
Luka Rimanic
J. Puigcerver
C. Riquelme
Ce Zhang
Mario Lucic
34
24
0
13 Oct 2020
LEEP: A New Measure to Evaluate Transferability of Learned
  Representations
LEEP: A New Measure to Evaluate Transferability of Learned Representations
Cuong V Nguyen
Tal Hassner
Matthias Seeger
Cédric Archambeau
28
213
0
27 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
446
11,715
0
09 Mar 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through
  Selective Joint Fine-tuning
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
Weifeng Ge
Yizhou Yu
94
233
0
28 Feb 2017
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