soochan-lee / CN-DPM
Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."
☆99Updated 4 years ago
Alternatives and similar repositories for CN-DPM:
Users that are interested in CN-DPM are comparing it to the libraries listed below
- ☆71Updated 2 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆104Updated 2 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆74Updated 4 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆99Updated 2 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 3 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated last year
- ☆53Updated 5 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Implementation of the variational continual learning method☆189Updated 5 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 3 years ago
- ☆31Updated 2 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆163Updated 2 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 7 years ago
- ☆22Updated last year
- Official implementation of paper Gradient Matching for Domain Generalization☆117Updated 3 years ago
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆37Updated 4 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 4 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 3 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆63Updated 5 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆99Updated 4 years ago
- Coresets via Bilevel Optimization☆65Updated 4 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆96Updated last year
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆52Updated 5 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆74Updated 3 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆90Updated last year
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆201Updated 3 years ago