optimass / continual_learning_papersLinks
Relevant papers in Continual Learning
☆736Updated 2 years ago
Alternatives and similar repositories for continual_learning_papers
Users that are interested in continual_learning_papers are comparing it to the libraries listed below
Sorting:
- Evaluate three types of task shifting with popular continual learning algorithms.☆521Updated 4 years ago
- Continual Learning papers list, curated by ContinualAI☆655Updated last year
- A clean and simple data loading library for Continual Learning☆438Updated 2 years ago
- Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"☆281Updated last year
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and o…☆305Updated last year
- An implementation of EWC with PyTorch☆255Updated 6 years ago
- A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning☆292Updated 4 years ago
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,755Updated 3 months ago
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆204Updated 4 years ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆411Updated 2 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆407Updated last year
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆554Updated 2 years ago
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆732Updated 3 weeks ago
- Overcoming catastrophic forgetting with hard attention to the task☆218Updated 6 years ago
- Continuum Learning with GEM: Gradient Episodic Memory☆401Updated 6 years ago
- A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR…☆244Updated 2 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆165Updated 3 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆469Updated 5 months ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆204Updated last year
- ☆263Updated 3 years ago
- A classified list of meta learning papers based on realm.☆363Updated 2 years ago
- All about domain generalization☆838Updated 6 months ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆254Updated 2 years ago
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆206Updated 3 years ago
- A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.☆243Updated last year
- PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017☆167Updated 7 years ago
- Continual Learning tutorials and demo running on Google Colaboratory.☆354Updated 3 years ago
- Elastic weight consolidation technique for incremental learning.☆147Updated 4 years ago
- An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta☆237Updated 5 years ago
- DomainBed is a suite to test domain generalization algorithms☆1,542Updated 8 months ago