Information Theoretic Meta Learning with Gaussian Processes

7 September 2020

Michalis K. Titsias

Francisco J. R. Ruiz

Sotirios Nikoloutsopoulos

Alexandre Galashov

FedML

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Papers citing "Information Theoretic Meta Learning with Gaussian Processes"

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Title
Federated Neural Nonparametric Point Processes Hui Chen Hengyu Liu Hengyu Liu Xuhui Fan Zhilin Zhao Feng Zhou Christopher J. Quinn Longbing Cao FedML 74 0 0 08 Oct 2024
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 68 63 0 20 Jul 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 92 125 0 27 Apr 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard Turner 87 90 0 06 Mar 2020
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Cuong C. Nguyen Thanh-Toan Do G. Carneiro OOD BDL UQCV 50 54 0 27 Jul 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 74 29 0 28 May 2019
Conditional Neural Processes M. Garnelo Dan Rosenbaum Chris J. Maddison Tiago Ramalho D. Saxton Murray Shanahan Yee Whye Teh Danilo Jimenez Rezende S. M. Ali Eslami UQCV BDL 88 702 0 04 Jul 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 280 501 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 264 671 0 07 Jun 2018
Meta-Learning Probabilistic Inference For Prediction Jonathan Gordon J. Bronskill Matthias Bauer Sebastian Nowozin Richard Turner BDL 110 264 0 24 May 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 227 2,232 0 08 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 65 1,283 0 02 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 51 181 0 28 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 83 509 0 26 Jan 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 292 4,049 0 16 Nov 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 365 7,319 0 13 Jun 2016
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 74 427 0 07 Jun 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 243 885 0 06 Nov 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,940 0 20 Dec 2013