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MetaModulation: Learning Variational Feature Hierarchies for Few-Shot
  Learning with Fewer Tasks

MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks

17 May 2023
Wenfang Sun
Yingjun Du
Xiantong Zhen
Fan Wang
Lingling Wang
Cees G. M. Snoek
ArXivPDFHTML

Papers citing "MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks"

5 / 5 papers shown
Title
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided
  Diffusion
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Yingjun Du
Zehao Xiao
Shengcai Liao
Cees G. M. Snoek
DiffM
26
10
0
26 Jun 2023
Set-based Meta-Interpolation for Few-Task Meta-Learning
Set-based Meta-Interpolation for Few-Task Meta-Learning
Seanie Lee
Bruno Andreis
Kenji Kawaguchi
Juho Lee
S. Hwang
35
9
0
20 May 2022
STraTA: Self-Training with Task Augmentation for Better Few-shot
  Learning
STraTA: Self-Training with Task Augmentation for Better Few-shot Learning
Tu Vu
Minh-Thang Luong
Quoc V. Le
Grady Simon
Mohit Iyyer
118
60
0
13 Sep 2021
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
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
210
1,156
0
24 Oct 2016
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