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Does MAML Only Work via Feature Re-use? A Data Centric Perspective

Does MAML Only Work via Feature Re-use? A Data Centric Perspective

24 December 2021
Brando Miranda
Yu-xiong Wang
Oluwasanmi Koyejo
ArXivPDFHTML

Papers citing "Does MAML Only Work via Feature Re-use? A Data Centric Perspective"

5 / 5 papers shown
Title
MAC: A Meta-Learning Approach for Feature Learning and Recombination
MAC: A Meta-Learning Approach for Feature Learning and Recombination
S. Tiwari
M. Gogoi
S. Verma
K. P. Singh
CLL
14
1
0
20 Sep 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to
  Outperform MAML and Their Empirical Equivalence
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence
Brando Miranda
P. Yu
Yu-xiong Wang
Oluwasanmi Koyejo
21
10
0
02 Aug 2022
The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence
Brando Miranda
Yu-xiong Wang
Sanmi Koyejo
16
0
0
24 Dec 2021
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
172
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
243
11,659
0
09 Mar 2017
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