https://github.com/BayesWatch/deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
https://github.com/BayesWatch/deep-kernel-transfer

bayesian-methods classification deep-kernel-learning deep-learning few-shot-learning gaussian-processes gpytorch kernel kernel-methods kernels meta-learning one-shot-learning paper regression shot-learning uncertainty uncertainty-quantification

Last synced: about 2 months ago
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Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

• Host: GitHub
• URL: https://github.com/BayesWatch/deep-kernel-transfer
• Owner: BayesWatch
• Created: 2019-10-10T13:13:56.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2022-01-19T23:32:46.000Z (over 2 years ago)
• Last Synced: 2024-07-29T06:38:32.100Z (about 2 months ago)
• Topics: bayesian-methods, classification, deep-kernel-learning, deep-learning, few-shot-learning, gaussian-processes, gpytorch, kernel, kernel-methods, kernels, meta-learning, one-shot-learning, paper, regression, shot-learning, uncertainty, uncertainty-quantification
• Language: Python
• Homepage: https://arxiv.org/abs/1910.05199
• Size: 641 KB
• Stars: 194
• Watchers: 14
• Forks: 29
• Open Issues: 2

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