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Gaussian Process Meta Few-shot Classifier Learning via Linear
  Discriminant Laplace Approximation

Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation

9 November 2021
Minyoung Kim
Timothy M. Hospedales
    BDL
ArXivPDFHTML

Papers citing "Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation"

5 / 5 papers shown
Title
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
HyperMAML: Few-Shot Adaptation of Deep Models with Hypernetworks
Marcin Przewiȩźlikowski
P. Przybysz
Jacek Tabor
Maciej Ziȩba
P. Spurek
21
18
0
31 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular
  Property Prediction
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Wenlin Chen
Austin Tripp
José Miguel Hernández-Lobato
14
23
0
05 May 2022
HyperShot: Few-Shot Learning by Kernel HyperNetworks
HyperShot: Few-Shot Learning by Kernel HyperNetworks
Marcin Sendera
Marcin Przewiȩźlikowski
Konrad Karanowski
Maciej Ziȩba
Jacek Tabor
P. Spurek
VLM
22
27
0
21 Mar 2022
Bayesian Model-Agnostic Meta-Learning
Bayesian Model-Agnostic Meta-Learning
Taesup Kim
Jaesik Yoon
Ousmane Amadou Dia
Sungwoong Kim
Yoshua Bengio
Sungjin Ahn
UQCV
BDL
196
498
0
11 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
329
11,681
0
09 Mar 2017
1