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Meta-ticket: Finding optimal subnetworks for few-shot learning within
  randomly initialized neural networks

Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks

31 May 2022
Daiki Chijiwa
Shinýa Yamaguchi
Atsutoshi Kumagai
Yasutoshi Ida
ArXivPDFHTML

Papers citing "Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks"

5 / 5 papers shown
Title
Towards Learning Convolutions from Scratch
Towards Learning Convolutions from Scratch
Behnam Neyshabur
SSL
220
71
0
27 Jul 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 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
320
11,681
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
269
5,326
0
05 Nov 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014
1