LAMDA-CL / PROOFLinks
Learning without Forgetting for Vision-Language Models (TPAMI 2025)
☆39Updated 4 months ago
Alternatives and similar repositories for PROOF
Users that are interested in PROOF are comparing it to the libraries listed below
Sorting:
- ☆23Updated 4 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆33Updated 2 weeks ago
- Instruction Tuning in Continual Learning paradigm☆50Updated 4 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year
- Code for our NeurIPS´24 paper☆33Updated 7 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆49Updated 10 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆144Updated 10 months ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆23Updated 3 weeks ago
- ☆42Updated 2 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆16Updated 8 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆51Updated 4 months ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆72Updated 2 months ago
- ☆23Updated 3 weeks ago
- [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners☆51Updated 9 months ago
- CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning☆15Updated 2 years ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆42Updated last year
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆90Updated last year
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆41Updated 3 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆97Updated 2 years ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆141Updated last year
- Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"☆101Updated last year
- The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch☆61Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆81Updated 3 months ago
- [ICLR 2025] Official Implementation of Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection☆30Updated 2 months ago
- Official implementation of the "Multimodal Parameter-Efficient Few-Shot Class Incremental Learning" paper☆23Updated last year
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆12Updated 2 years ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆100Updated 9 months ago
- Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)☆28Updated 11 months ago
- ☆22Updated last year
- ☆21Updated 5 months ago