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M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast
  Self-Adaptation

M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation

28 February 2023
Junjie Yang
Xuxi Chen
Tianlong Chen
Zhangyang Wang
Yitao Liang
ArXivPDFHTML

Papers citing "M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation"

2 / 2 papers shown
Title
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
194
640
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
457
11,715
0
09 Mar 2017
1