saxena-mayur / Weight-Uncertainty-in-Neural-Networks
☆38Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Weight-Uncertainty-in-Neural-Networks
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆111Updated 2 years ago
- Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning, ICLR 2020☆235Updated last year
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆170Updated 2 years ago
- " Weight Uncertainty in Neural Networks"☆45Updated 6 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆74Updated 2 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 5 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆268Updated 2 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆201Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆73Updated 3 years ago
- ☆40Updated 4 years ago
- Last-layer Laplace approximation code examples☆81Updated 3 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆129Updated last year
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆162Updated 2 years ago
- This repository contains an official implementation of LPBNN.☆39Updated last year
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- ☆226Updated 4 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆150Updated 2 years ago
- Robust Out-of-distribution Detection in Neural Networks☆72Updated 2 years ago
- Implementation of the variational continual learning method☆188Updated 5 years ago
- ☆65Updated 4 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆47Updated 3 years ago
- Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates☆110Updated 4 years ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆53Updated last year
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆42Updated 6 years ago
- Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …☆62Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆72Updated last year
- Example code of Sparse Gaussian Process Attention (ICLR 2023)☆19Updated 4 months ago
- ☆70Updated last year