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An Information-Theoretic Analysis of the Impact of Task Similarity on
  Meta-Learning

An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning

21 January 2021
Sharu Theresa Jose
Osvaldo Simeone
ArXivPDFHTML

Papers citing "An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning"

4 / 4 papers shown
Title
Information-Theoretic Bounds on Transfer Generalization Gap Based on
  Jensen-Shannon Divergence
Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence
Sharu Theresa Jose
Osvaldo Simeone
46
16
0
13 Oct 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and
  Fine-Tuning
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning
Giulia Denevi
Massimiliano Pontil
C. Ciliberto
34
39
0
25 Aug 2020
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
110
147
0
06 Nov 2019
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
329
11,681
0
09 Mar 2017
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