Continual Learning papers list, curated by ContinualAI
☆702Apr 22, 2024Updated last year
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- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,842Nov 5, 2025Updated 5 months ago
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- 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 Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆358Jan 27, 2026Updated 2 months ago
- Continual Learning in Recurrent Neural Networks☆37Oct 12, 2021Updated 4 years ago
- Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop☆44Apr 8, 2024Updated 2 years ago
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- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆174Oct 29, 2021Updated 4 years ago
- Towards increasing stability of neural networks for continual learning: https://arxiv.org/abs/2006.06958.pdf (NeurIPS'20)☆77Mar 25, 2023Updated 3 years ago
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- Implementation for the paper "Adversarial Continual Learning" in PyTorch.☆255May 25, 2023Updated 2 years ago
- Code to reproduce experiments from the paper "Continual Pre-Training Mitigates Forgetting in Language and Vision" https://arxiv.org/abs/2…☆22Oct 23, 2023Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆101Mar 30, 2022Updated 4 years ago
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- Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily ext…☆132Jul 6, 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 4 years ago