lywang3081 / Awesome-Continual-Learning
A paper list of our recent survey on continual learning, and other useful resources in this field.
☆80Updated last year
Alternatives and similar repositories for Awesome-Continual-Learning:
Users that are interested in Awesome-Continual-Learning are comparing it to the libraries listed below
- A curated list of Continual Learning papers and BibTeX entries☆179Updated 5 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆82Updated 4 months ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆293Updated 2 weeks ago
- ☆124Updated 4 months ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆70Updated last week
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆136Updated 7 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆193Updated last year
- Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop☆38Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆75Updated 3 weeks ago
- The code repository for "MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning"(AAAI25) in PyTorch.☆16Updated last week
- Class-Incremental Learning: A Survey (TPAMI 2024)☆243Updated 5 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆117Updated 2 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆135Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆45Updated last month
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆403Updated last week
- ☆18Updated last year
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆47Updated last year
- ☆16Updated 7 months ago
- ICLR2024 paper on Continual Learning☆33Updated 11 months ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆37Updated last year
- ☆26Updated 6 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆52Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆38Updated 5 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆45Updated 7 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆97Updated 6 months ago
- Awesome Few-Shot Class-Incremental Learning☆237Updated last year
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆26Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆41Updated 2 years ago
- This repo will be continually updating analytic federated learning methods.☆54Updated 2 weeks ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆42Updated 2 months ago