SAP-archive / machine-learning-dgm
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
☆37Updated 2 years ago
Related projects: ⓘ
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 6 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated last year
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆98Updated last year
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆118Updated 4 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 3 years ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆95Updated 6 years ago
- Memory Aware Synapses method implementation code☆93Updated 5 years ago
- ☆70Updated last year
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 6 years ago
- Implementation of Bayesian Gradient Descent☆37Updated 11 months ago
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆81Updated 11 months ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆79Updated last year
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆97Updated 4 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆96Updated 11 months ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆102Updated 2 years ago
- ☆53Updated 4 years ago
- A repository to keep track of literature on catastrophic forgetting☆36Updated 4 years ago
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆116Updated 4 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆89Updated 11 months ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆106Updated last month
- [NeurIPS 2020, Spotlight] Improved Schemes for Episodic Memory-based Lifelong Learning☆18Updated 3 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆74Updated last year
- pytorch implementation of Large Scale Incremental Learning☆64Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Updated 5 years ago
- The Stream-51 dataset for streaming classification and novelty detection from videos.☆15Updated 2 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆114Updated 4 years ago
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆71Updated 3 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆143Updated 3 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆180Updated 5 years ago