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2203.09137
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Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning
17 March 2022
Haoxiang Wang
Yite Wang
Ruoyu Sun
Yue Liu
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Papers citing
"Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning"
21 / 21 papers shown
Title
Zero-Cost Proxies for Lightweight NAS
Mohamed S. Abdelfattah
Abhinav Mehrotra
Łukasz Dudziak
Nicholas D. Lane
60
257
0
20 Jan 2021
Neural Architecture Search without Training
J. Mellor
Jack Turner
Amos Storkey
Elliot J. Crowley
51
380
0
08 Jun 2020
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
340
1,967
0
11 Apr 2020
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning
Kaiyi Ji
Junjie Yang
Yingbin Liang
75
50
0
18 Feb 2020
Meta-Learning of Neural Architectures for Few-Shot Learning
T. Elsken
B. Staffler
J. H. Metzen
Frank Hutter
73
137
0
25 Nov 2019
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks
Trapit Bansal
Rishikesh Jha
Andrew McCallum
SSL
53
119
0
10 Nov 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
300
644
0
19 Sep 2019
Meta-Learning with Implicit Gradients
Aravind Rajeswaran
Chelsea Finn
Sham Kakade
Sergey Levine
94
854
0
10 Sep 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
Alireza Fallah
Aryan Mokhtari
Asuman Ozdaglar
75
225
0
27 Aug 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks
Yuan Cao
Quanquan Gu
MLT
AI4CE
80
389
0
30 May 2019
Meta-Learning: A Survey
Joaquin Vanschoren
FedML
OOD
60
763
0
08 Oct 2018
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
185
4,345
0
24 Jun 2018
Auto-Meta: Automated Gradient Based Meta Learner Search
Jaehong Kim
Sangyeul Lee
Sungwan Kim
Moonsu Cha
Jung Kwon Lee
Youngduck Choi
Yongseok Choi
Dong-Yeon Cho
Jiwon Kim
AI4CE
71
39
0
11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning
Chelsea Finn
Kelvin Xu
Sergey Levine
BDL
255
670
0
07 Jun 2018
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
80
928
0
21 May 2018
Group Normalization
Yuxin Wu
Kaiming He
190
3,644
0
22 Mar 2018
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
221
2,229
0
08 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
803
11,866
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
416
5,367
0
05 Nov 2016
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
331
7,313
0
13 Jun 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
304
7,971
0
23 May 2016
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