ariseff / overcoming-catastrophicLinks
Implementation of "Overcoming catastrophic forgetting in neural networks" in Tensorflow
☆302Updated 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:
- Continuum Learning with GEM: Gradient Episodic Memory☆400Updated 6 years ago
- TensorFlow implementation of Elastic Weight Consolidation☆75Updated 7 years ago
- Lifelong Learning with Dynamically Expandable Networks, ICLR 2018☆157Updated 5 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆280Updated 10 months ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆104Updated 6 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆204Updated 3 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆204Updated 10 months ago
- Implementation of the variational continual learning method☆190Updated 6 years ago
- Overcoming catastrophic forgetting with hard attention to the task☆215Updated 6 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆234Updated 6 years ago
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆163Updated 7 years ago
- Virtual adversarial training with Tensorflow☆251Updated 6 years ago
- Evaluate three types of task shifting with popular continual learning algorithms.☆520Updated 4 years ago
- A PyTorch implementation of Learning to learn by gradient descent by gradient descent☆314Updated 6 years ago
- Implementation of Meta-Learning with Latent Embedding Optimization☆308Updated 6 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆147Updated 4 years ago
- categorical variational autoencoder using the Gumbel-Softmax estimator☆433Updated 8 years ago
- ☆258Updated 3 years ago
- This repo contains the source code accompanying a scientific paper with the same name.☆375Updated 3 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
- Memory Aware Synapses method implementation code☆97Updated 6 years ago
- CORe50: a new Dataset and Benchmark for Continual Learning☆122Updated 4 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 10 months ago
- PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400☆563Updated 6 years ago
- Meta Learning for Semi-Supervised Few-Shot Classification☆562Updated 5 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆84Updated 5 years ago
- One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow☆243Updated 6 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 7 years ago
- A PyTorch implementation of OpenAI's REPTILE algorithm☆220Updated 5 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆139Updated 5 years ago