timrudner / S-FSVILinks
Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
☆24Updated 2 years ago
Alternatives and similar repositories for S-FSVI
Users that are interested in S-FSVI are comparing it to the libraries listed below
Sorting:
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆77Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆76Updated last year
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆22Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 3 years ago
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆22Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆45Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- ☆38Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆112Updated 3 years ago
- Official Implementation of "Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions" (ICLR, …☆83Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- Reproduction of the paper: Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles☆26Updated 5 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 4 months ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Official Repository of "Graph Mixture Density Networks" (ICML 2021)☆26Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆75Updated 4 years ago
- ☆40Updated 5 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- ☆25Updated last year
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆18Updated 2 years ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Updated 3 years ago
- ☆32Updated 7 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 3 years ago
- [ICML 2021] Kernel Continual Learning☆7Updated 3 years ago