sun-hailong / AAAI25-MOS
The code repository for "MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning"(AAAI25) in PyTorch.
☆16Updated 3 months ago
Alternatives and similar repositories for AAAI25-MOS:
Users that are interested in AAAI25-MOS are comparing it to the libraries listed below
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)☆13Updated 3 weeks ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆69Updated 7 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆52Updated last year
- 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
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆72Updated 2 weeks ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆135Updated 7 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆27Updated 8 months ago
- ☆26Updated 6 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆82Updated 4 months ago
- [ICCV 2023] Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning☆23Updated 3 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆45Updated last month
- The code repository for "Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning" (ICML24)☆10Updated 9 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆135Updated last year
- A paper list of our recent survey on continual learning, and other useful resources in this field.☆80Updated last year
- ☆10Updated 8 months ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆12Updated 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
- ☆18Updated 11 months ago
- ☆20Updated 3 months ago
- ☆120Updated 3 months ago
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆37Updated 4 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆116Updated 2 years ago
- Code for "External Knowledge Injection for CLIP-Based Class-Incremental Learning"☆16Updated 3 weeks ago
- The code repository for "Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks" (TPAMI 2023) in PyTorch.☆36Updated last year
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆13Updated 5 months ago
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆51Updated last year
- Class-Incremental Learning: A Survey (TPAMI 2024)☆243Updated 4 months ago
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆26Updated 9 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆190Updated last year
- Instruction Tuning in Continual Learning paradigm☆44Updated last month