SaynaEbrahimi / UCBLinks
Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020
☆76Updated 4 years ago
Alternatives and similar repositories for UCB
Users that are interested in UCB are comparing it to the libraries listed below
Sorting:
- Implementation of the variational continual learning method☆195Updated 6 years ago
- Implementation of Bayesian Gradient Descent☆37Updated 2 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 5 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆80Updated 5 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆205Updated last year
- ☆94Updated 4 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 7 years ago
- ☆32Updated 3 years ago
- ☆54Updated 6 years ago
- ☆53Updated 7 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78Updated 3 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆22Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆40Updated 5 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Updated 3 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆76Updated 2 years ago
- ☆88Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆65Updated 6 years ago
- PyTorch Implementations of Dropout Variants☆88Updated 8 years ago
- ☆126Updated last year
- ☆22Updated 2 years ago