Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels

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Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels

11 October 2019

Massimiliano Patacchiola

Elliot J. Crowley

Michael F. P. O'Boyle

Amos Storkey

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Papers citing "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels"

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Title
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Natalie Maus Kyurae Kim Yimeng Zeng Haydn Thomas Jones Fangping Wan Marcelo Der Torossian Torres Cesar de la Fuente-Nunez Jacob R. Gardner 138 0 0 31 Jan 2025
Practical Conditional Neural Processes Via Tractable Dependent Predictions Stratis Markou James Requeima W. Bruinsma Anna Vaughan Richard Turner UQCV AI4CE 81 25 0 16 Mar 2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains Haitao Liu Kai Wu Yew-Soon Ong Chao Bian Xiaomo Jiang Xiaofang Wang 76 8 0 25 Feb 2022
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 106 53 0 09 Nov 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 73 1 0 22 Oct 2021
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy Sergei V. Kalinin M. Ziatdinov Jacob D. Hinkle S. Jesse Ayana Ghosh K. Kelley A. Lupini B. Sumpter Rama K Vasudevan 72 3 0 22 Mar 2021
Fast Adaptation with Linearized Neural Networks Wesley J. Maddox Shuai Tang Pablo G. Moreno A. Wilson Andreas C. Damianou 92 32 0 02 Mar 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 369 1,947 0 12 Nov 2020
Region Comparison Network for Interpretable Few-shot Image Classification Z. Xue Lixin Duan Wen Li Lin Chen Jiebo Luo 61 16 0 08 Sep 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 109 63 0 20 Jul 2020
Defining Benchmarks for Continual Few-Shot Learning Antreas Antoniou Massimiliano Patacchiola Mateusz Ochal Amos Storkey 56 38 0 15 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 418 1,998 0 11 Apr 2020