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MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot
  Classification

MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification

1 December 2019
Sivan Doveh
Eli Schwartz
Chao Xue
Rogerio Feris
A. Bronstein
Raja Giryes
Leonid Karlinsky
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Papers citing "MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification"

3 / 3 papers shown
Title
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
192
351
0
12 Jun 2018
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
362
11,684
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,327
0
05 Nov 2016
1