ariseff / overcoming-catastrophicLinks
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
☆303Updated 5 years ago
Alternatives and similar repositories for overcoming-catastrophic
Users that are interested in overcoming-catastrophic are comparing it to the libraries listed below
Sorting:
- TensorFlow implementation of Elastic Weight Consolidation☆75Updated 8 years ago
- Continuum Learning with GEM: Gradient Episodic Memory☆401Updated 6 years ago
- Lifelong Learning with Dynamically Expandable Networks, ICLR 2018☆160Updated 5 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆314Updated 6 years ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆107Updated 7 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆237Updated 6 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆205Updated 3 years ago
- Implementation of the variational continual learning method☆193Updated 6 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆281Updated last year
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆204Updated last year
- CORe50: a new Dataset and Benchmark for Continual Learning☆122Updated 4 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆310Updated 6 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆432Updated 8 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆166Updated 7 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Updated 4 years ago
- Virtual adversarial training with Tensorflow☆253Updated 7 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆85Updated 5 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆216Updated 6 years ago
- Code for Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights☆182Updated 6 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Efficient Architecture Search by Network Transformation, in AAAI 2018☆169Updated 6 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 6 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆108Updated last year
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆378Updated 3 years ago
- Sparse Variational Dropout, ICML 2017☆313Updated 5 years ago
- ☆136Updated 8 years ago