Continual Learning papers list, curated by ContinualAI
☆695Apr 22, 2024Updated last year
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- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and o…☆333Feb 20, 2024Updated 2 years ago
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,825Nov 5, 2025Updated 3 months ago
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- Evaluate three types of task shifting with popular continual learning algorithms.☆524Apr 26, 2021Updated 4 years ago
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- PyCIL: A Python Toolbox for Class-Incremental Learning☆1,057Jan 29, 2026Updated last month
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- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆562May 26, 2023Updated 2 years ago
- PyContinual (An Easy and Extendible Framework for Continual Learning)☆324Jan 29, 2024Updated 2 years ago
- PyTorch code for our CoLLAs-2022 paper "Online Continual Learning for Embedded Devices"☆13Aug 4, 2022Updated 3 years ago
- Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ …☆473Jul 30, 2024Updated last year
- Continual Learning in Recurrent Neural Networks☆37Oct 12, 2021Updated 4 years ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆352Jan 27, 2026Updated last month
- Continual Learning tutorials and demo running on Google Colaboratory.☆357Jul 8, 2022Updated 3 years ago
- A clean and simple data loading library for Continual Learning☆446Jun 25, 2023Updated 2 years ago
- Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase …☆205Jun 3, 2021Updated 4 years ago
- A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR…☆249Jul 6, 2023Updated 2 years ago
- A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).☆408Oct 3, 2023Updated 2 years ago
- Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop☆44Apr 8, 2024Updated last year
- A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning☆295Mar 6, 2021Updated 4 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆278Nov 7, 2024Updated last year
- A Continual Multi-agent RL testbed based on Hanabi☆32Aug 1, 2021Updated 4 years ago
- PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)☆472Apr 10, 2025Updated 10 months ago
- Avalanche fork adding RL support☆78Apr 13, 2023Updated 2 years ago
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆169Oct 29, 2021Updated 4 years ago
- Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.☆29Oct 20, 2021Updated 4 years ago
- A curated list of Continual Learning papers and BibTeX entries☆200Oct 21, 2024Updated last year
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆566Jan 29, 2026Updated last month
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- Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning☆22Mar 4, 2023Updated 2 years ago
- A paper list of our recent survey on continual learning, and other useful resources in this field.☆105Feb 21, 2024Updated 2 years ago
- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆255May 25, 2023Updated 2 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆170Apr 11, 2022Updated 3 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆99Feb 26, 2023Updated 3 years ago
- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆131Jul 6, 2023Updated 2 years ago