facebookresearch / agem
Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow
☆201Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for agem
- Continuum Learning with GEM: Gradient Episodic Memory☆393Updated 6 years ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆98Updated 6 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆103Updated 2 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆195Updated 3 months ago
- Overcoming catastrophic forgetting with hard attention to the task☆204Updated 5 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆156Updated 7 years ago
- Memory Aware Synapses method implementation code☆94Updated 6 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆143Updated 3 years ago
- Implementation of the variational continual learning method☆188Updated 5 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆263Updated 3 months ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆99Updated last year
- ☆70Updated last year
- Evaluate three types of task shifting with popular continual learning algorithms.☆508Updated 3 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆98Updated 4 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆185Updated 3 years ago
- ☆249Updated 3 years ago
- Lifelong Learning with Dynamically Expandable Networks, ICLR 2018☆156Updated 4 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 3 months ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆230Updated 6 years ago
- pytorch implementation of Large Scale Incremental Learning☆64Updated 4 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆95Updated last year
- Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)☆118Updated 4 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆75Updated last year
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆81Updated last year
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 6 years ago
- A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR…☆227Updated last year
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆197Updated 3 years ago
- ☆53Updated 4 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆79Updated last year