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Improving Few-Shot Learning through Multi-task Representation Learning
  Theory

Improving Few-Shot Learning through Multi-task Representation Learning Theory

5 October 2020
Quentin Bouniot
I. Redko
Romaric Audigier
Angélique Loesch
Amaury Habrard
ArXivPDFHTML

Papers citing "Improving Few-Shot Learning through Multi-task Representation Learning Theory"

3 / 3 papers shown
Title
In-Context Learning for Few-Shot Molecular Property Prediction
In-Context Learning for Few-Shot Molecular Property Prediction
Christopher Fifty
J. Leskovec
Sebastian Thrun
34
5
0
13 Oct 2023
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
252
11,677
0
09 Mar 2017
1