btjhjeon / IMM_tensorflowLinks
Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)
☆35Updated 7 years ago
Alternatives and similar repositories for IMM_tensorflow
Users that are interested in IMM_tensorflow are comparing it to the libraries listed below
Sorting:
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 7 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆108Updated last year
- Repository for the Learning without Forgetting paper, ECCV 2016☆85Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆104Updated 2 years ago
- Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"☆122Updated 5 years ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆108Updated 7 years ago
- Implementation of Bayesian Gradient Descent☆37Updated 2 years ago
- Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning☆37Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆206Updated 4 years ago
- Memory Aware Synapses method implementation code☆97Updated 7 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning☆237Updated 7 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆117Updated 5 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated last year
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- Codebase for "Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning". This is a ServiceNow Research pro…☆106Updated 3 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 5 years ago
- ☆16Updated 7 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Updated 4 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆33Updated 5 years ago