facebookresearch / agemLinks
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
☆204Updated 3 years ago
Alternatives and similar repositories for agem
Users that are interested in agem are comparing it to the libraries listed below
Sorting:
- Continuum Learning with GEM: Gradient Episodic Memory☆400Updated 6 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆146Updated 4 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆214Updated 6 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆105Updated 2 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆201Updated 10 months ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆104Updated 6 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆163Updated 7 years ago
- Implementation of the variational continual learning method☆190Updated 6 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆278Updated 10 months ago
- Memory Aware Synapses method implementation code☆96Updated 6 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆233Updated 6 years ago
- ☆72Updated 2 years ago
- Lifelong Learning with Dynamically Expandable Networks, ICLR 2018☆158Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 4 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 10 months ago
- ☆257Updated 3 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆101Updated 2 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆97Updated last year
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆122Updated 5 years ago
- pytorch implementation of Large Scale Incremental Learning☆66Updated 4 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆190Updated 4 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆119Updated 4 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆164Updated 3 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆519Updated 4 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆80Updated 2 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated 2 years ago
- code for paper "Ju Xu, Zhanxing Zhu. Reinforced Continual Learning. NIPS 2018."☆38Updated 6 years ago
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆202Updated 4 years ago