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Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task
  Supervision at Test-Time

Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time

22 February 2019
Gabriel Huang
Hugo Larochelle
Simon Lacoste-Julien
    SSL
    OOD
ArXivPDFHTML

Papers citing "Are Few-Shot Learning Benchmarks too Simple ? Solving them without Task Supervision at Test-Time"

3 / 3 papers shown
Title
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
14
152
0
07 Mar 2022
Variational Wasserstein Clustering
Variational Wasserstein Clustering
Liang Mi
Wen Zhang
X. Gu
Yalin Wang
OT
48
42
0
23 Jun 2018
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
11,568
0
09 Mar 2017
1