BayesWatch / deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

Date Created 2019-10-10 (4 years ago)

Commits 53 (last one 2 years ago)

Stargazers 194 (0 this week)

Watchers 14 (0 this week)

Forks 29

License unknown

Ranking

RepositoryStats indexes 534,551 repositories, of these BayesWatch/deep-kernel-transfer is ranked #172,021 (68th percentile) for total stargazers, and #151,074 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #29,776/103,470.

BayesWatch/deep-kernel-transfer is also tagged with popular topics, for these it's ranked: deep-learning (#3,393/7827), kernel (#232/540), classification (#191/507), paper (#192/410), few-shot-learning (#56/170), meta-learning (#38/128)

Other Information

BayesWatch/deep-kernel-transfer has Github issues enabled, there are 2 open issues and 17 closed issues.

Homepage URL: https://arxiv.org/abs/1910.05199

All Topics

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

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updated: 2024-06-20 @ 02:25pm, id: 214187045 / R_kgDODMQ8JQ