mariacer / cl_in_rnns
Continual Learning in Recurrent Neural Networks
☆38Updated 2 years ago
Related projects: ⓘ
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆102Updated 2 years ago
- ContinualAI Wiki: a collaborative wiki on Continual/Lifelong Machine Learning☆49Updated 2 years ago
- PyTorch implementation of the Deep SLDA method from our CVPRW-2020 paper "Lifelong Machine Learning with Deep Streaming Linear Discrimina…☆51Updated 2 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆159Updated 2 years ago
- ☆70Updated last year
- ☆53Updated 4 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆97Updated 4 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆98Updated last year
- Implementation of the variational continual learning method☆187Updated 5 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆36Updated 5 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆153Updated 6 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆202Updated 5 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆35Updated 3 years ago
- ☆10Updated 5 years ago
- OnlineEWC and EWC++ implementations, the online versions of Elastic weight consolidation☆9Updated 5 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆24Updated 3 years ago
- Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning☆19Updated last year
- PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (…☆71Updated last year
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆40Updated 8 months ago
- Implementation of Bayesian Gradient Descent☆37Updated 11 months ago
- Code for "Supermasks in Superposition"☆115Updated 11 months ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆73Updated 3 years ago
- Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)☆39Updated last year
- ☆38Updated last year
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆95Updated 6 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆71Updated 3 years ago
- Official implementation for Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder at NeurIPS 2020☆47Updated 3 years ago
- Elastic weight consolidation technique for incremental learning.☆124Updated 3 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆74Updated last year