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P2L: Predicting Transfer Learning for Images and Semantic Relations
v1v2 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "P2L: Predicting Transfer Learning for Images and Semantic Relations"

5 / 5 papers shown
Title
Wasserstein Task Embedding for Measuring Task Similarities
Wasserstein Task Embedding for Measuring Task Similarities
Xinran Liu
Yikun Bai
Yuzhe Lu
Andrea Soltoggio
Soheil Kolouri
OT
90
25
0
24 Aug 2022
Task Fingerprinting for Meta Learning in Biomedical Image Analysis
Task Fingerprinting for Meta Learning in Biomedical Image Analysis
Patrick Godau
Lena Maier-Hein
33
7
0
08 Jul 2021
A partition-based similarity for classification distributions
A partition-based similarity for classification distributions
Hayden S. Helm
Ronak D. Mehta
Brandon Duderstadt
Weiwei Yang
Christoper M. White
Ali Geisa
Joshua T. Vogelstein
Carey E. Priebe
34
6
0
12 Nov 2020
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
88
28
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
93
221
0
27 Feb 2020
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