sun-hailong / Awesome-Incremental-Learning-with-Pre-trained-ModelsLinks
📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models
☆56Updated 2 months ago
Alternatives and similar repositories for Awesome-Incremental-Learning-with-Pre-trained-Models
Users that are interested in Awesome-Incremental-Learning-with-Pre-trained-Models are comparing it to the libraries listed below
Sorting:
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 4 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆52Updated 6 months ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆101Updated 11 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆49Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆119Updated 2 years ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆56Updated 2 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆145Updated last year
- Forward Compatible Few-Shot Class-Incremental Learning (CVPR'22)☆132Updated last year
- ☆51Updated 2 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆116Updated 2 years ago
- Class-Incremental Learning: A Survey (TPAMI 2024)☆263Updated 9 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆196Updated last year
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆64Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated 2 years ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆40Updated 9 months ago
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆46Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 9 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆32Updated last year
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023)☆37Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆42Updated last month
- ☆33Updated 2 years ago
- ICLR2024 paper on Continual Learning☆36Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year
- Awesome Few-Shot Class-Incremental Learning☆242Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 2 months ago
- ☆22Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆98Updated 2 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆38Updated 3 years ago
- This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.☆16Updated last year