rahafaljundi / Expert-Gate
We introduce a model of lifelong learning, based on a Network of Experts. New tasks / experts are learned and added to the model sequentially, building on what was learned before. To ensure scalability of this process, data from previous tasks cannot be stored and hence is not available when learning a new task. A critical issue in such context,…
☆11Updated 7 years ago
Alternatives and similar repositories for Expert-Gate:
Users that are interested in Expert-Gate are comparing it to the libraries listed below
- Generative Feature Replay For Class-Incremental Learning☆37Updated 4 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 7 years ago
- AR1* with Latent Replay, implemented in PyTorch☆30Updated 4 years ago
- ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild☆79Updated 2 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 7 months 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 to reproduce the experiments of "Rethinking Experience Replay: a Bag of Tricks for Continual Learning"☆45Updated 2 years ago
- Codebase for "Online Continual Learning with Maximally Interfered Retrieval"☆99Updated 2 years ago
- pytorch implementation of Large Scale Incremental Learning☆65Updated 4 years ago
- ☆70Updated 5 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆36Updated 4 years ago
- Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020☆96Updated last year
- ☆71Updated 2 years ago
- CORe50: a new Dataset and Benchmark for Continual Learning☆121Updated 3 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- PyTorch implementation of the REMIND method from our ECCV-2020 paper "REMIND Your Neural Network to Prevent Catastrophic Forgetting"☆82Updated last year
- Implementation of Latent Replay, a Continual Learning strategy for Real-Time / On The Edge applications☆14Updated 4 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 6 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆83Updated 4 years ago
- ☆16Updated 6 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆203Updated 3 years ago
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆33Updated 4 years ago
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆91Updated last year
- Code for Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation☆21Updated 5 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Memory Aware Synapses method implementation code☆94Updated 6 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]☆61Updated 6 years ago
- Lifelong Learning with Dynamically Expandable Networks☆20Updated 7 years ago