Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
☆207Jan 19, 2022Updated 4 years ago
Alternatives and similar repositories for deep-kernel-transfer
Users that are interested in deep-kernel-transfer are comparing it to the libraries listed below
Sorting:
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Nov 23, 2017Updated 8 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 5 years ago
- Implementations of many meta-learning algorithms to solve the few-shot learning problem in Pytorch☆255Mar 7, 2022Updated 3 years ago
- Meta-learning Gaussian process (GP) priors via PAC-Bayes bounds☆26Jan 25, 2024Updated 2 years ago
- Code accompanying the paper "Probabilistic Selection of Inducing Points in Sparse Gaussian Processes".☆25Dec 8, 2022Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Jul 12, 2019Updated 6 years ago
- Implementation of the paper: "High-dimensional Bayesian optimization using low-dimensional feature spaces".☆21Sep 11, 2020Updated 5 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,053Jul 17, 2023Updated 2 years ago
- Implementation of the Convolutional Conditional Neural Process☆128May 17, 2021Updated 4 years ago
- Domain Generalization via Model-Agnostic Learning of Semantic Features☆149Mar 24, 2023Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆48Sep 19, 2019Updated 6 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆162Jan 14, 2021Updated 5 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39May 30, 2019Updated 6 years ago
- ☆20May 5, 2022Updated 3 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,834Updated this week
- A PyTorch implementation of paper "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"☆11Aug 25, 2020Updated 5 years ago
- An official code of TAEML (Task-Adaptive Ensemble of Meta-Learners)☆13Jul 30, 2019Updated 6 years ago
- Spherical random features for polynomial kernels☆10Dec 1, 2015Updated 10 years ago
- ☆21Jun 16, 2020Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Jan 21, 2021Updated 5 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆178Jul 25, 2024Updated last year
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Jul 31, 2020Updated 5 years ago
- ☆116Jan 19, 2021Updated 5 years ago
- Accompanying code for AAAI 2021 publication - High-Dimensional Bayesian Optimization via Tree-Structured Additive Models☆11Jun 19, 2024Updated last year
- Pytorch implementation of Neural Processes for functions and images☆236Feb 8, 2022Updated 4 years ago
- The original code for the paper "Benchmarks for Continual Few-Shot Learning".☆36Aug 18, 2020Updated 5 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123May 23, 2023Updated 2 years ago
- A pytorch implementation of "Domain-Adaptive Few-Shot Learning"☆148Jul 21, 2020Updated 5 years ago
- multilevel spatially-correlated variance components models☆18Jul 9, 2024Updated last year
- Heterogeneous Multi-output Gaussian Processes☆54May 4, 2020Updated 5 years ago
- Official code for the paper "Self-Distillation for Few-Shot Image Captioning"☆15Mar 15, 2021Updated 4 years ago
- Code accompanying our paper "Finding trainable sparse networks through Neural Tangent Transfer" to be published at ICML-2020.☆13Jun 14, 2020Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Aug 22, 2020Updated 5 years ago
- Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples…☆58Nov 3, 2022Updated 3 years ago
- ☆375Jan 22, 2021Updated 5 years ago
- ☆38Jul 20, 2020Updated 5 years ago
- A Pytorch Implementation of Attentive Neural Process☆75May 3, 2019Updated 6 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Oct 24, 2020Updated 5 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago