GT-RIPL / CODA-PromptLinks
PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
☆147Updated last year
Alternatives and similar repositories for CODA-Prompt
Users that are interested in CODA-Prompt are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆120Updated 2 years ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆197Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆103Updated 11 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆51Updated 7 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆87Updated 10 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆98Updated last year
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆50Updated last year
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆18Updated 11 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆87Updated 6 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆99Updated 2 years ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 5 months ago
- [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
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 3 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆44Updated 2 months ago
- ☆21Updated 6 months ago
- ☆31Updated 11 months ago
- Code for our NeurIPS´24 paper☆35Updated 10 months ago
- ☆45Updated 5 months ago
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆194Updated 2 years ago
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆70Updated last week
- ☆22Updated last year
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆29Updated 3 months ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆27Updated 2 years ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆79Updated last year
- Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022☆143Updated 3 years ago
- Instruction Tuning in Continual Learning paradigm☆58Updated 7 months ago
- Official PyTorch implementation of our ICCV2023 paper “When Prompt-based Incremental Learning Does Not Meet Strong Pretraining”☆16Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆56Updated 2 years ago