maorong-wang / CCL-DC
Official implementation of paper "Improving Plasticity in Online Continual Learning via Collaborative Learning"
☆12Updated 9 months ago
Alternatives and similar repositories for CCL-DC:
Users that are interested in CCL-DC are comparing it to the libraries listed below
- A paper list of our recent survey on continual learning, and other useful resources in this field.☆80Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆191Updated last year
- A curated list of Continual Learning papers and BibTeX entries☆179Updated 5 months ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆243Updated 5 months ago
- 🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox☆403Updated last week
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆97Updated 6 months ago
- ☆16Updated 7 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆38Updated 5 months ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆70Updated last week
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆116Updated 2 years ago
- The code repository for "MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning"(AAAI25) in PyTorch.☆16Updated last week
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆73Updated 3 weeks ago
- Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop☆38Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆135Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆82Updated 4 months ago
- Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.☆545Updated last year
- The official PyTorch code for 'DER: Dynamically Expandable Representation for Class Incremental Learning' accepted by CVPR2021☆160Updated 3 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆136Updated 7 months ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆51Updated 2 years ago
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆23Updated 3 months ago
- Awesome Few-Shot Class-Incremental Learning☆237Updated last year
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and o…☆291Updated last year
- [AAAI2024] Summarizing Stream Data for Memory-Restricted Online Continual Learning☆21Updated 11 months ago
- A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), S…☆400Updated last year