SaynaEbrahimi / UCB
Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
☆73Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for UCB
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Implementation of the variational continual learning method☆187Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆97Updated 4 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
- Learning error bars for neural network predictions☆68Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆72Updated last year
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆102Updated 2 years ago
- Implementation of the Functional Neural Process models☆43Updated 4 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆72Updated 3 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 4 years ago
- ☆39Updated 4 years ago
- ☆53Updated 4 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 3 years ago
- ☆65Updated 4 years ago
- ☆31Updated last year
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- ☆53Updated 6 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆59Updated 5 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 5 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆41Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆74Updated 2 years ago
- Functional Regularisation for Continual Learning with Gaussian Processes☆13Updated 4 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆94Updated last year
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- ☆70Updated last year
- ☆57Updated last year
- ☆21Updated last year
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 3 years ago