LzVv123456 / Contrastive-Prototypical-PromptLinks
☆21Updated 5 months ago
Alternatives and similar repositories for Contrastive-Prototypical-Prompt
Users that are interested in Contrastive-Prototypical-Prompt are comparing it to the libraries listed below
Sorting:
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆145Updated 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
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆86Updated 9 months ago
- ☆22Updated last year
- ☆31Updated 11 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆17Updated 10 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆119Updated 2 years ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆86Updated 5 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆196Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆52Updated 6 months ago
- ☆16Updated 11 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
- Instruction Tuning in Continual Learning paradigm☆57Updated 6 months ago
- Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)☆35Updated 3 weeks ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆96Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆75Updated 4 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated last year
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆29Updated 3 months ago
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆28Updated last year
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆28Updated 4 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆56Updated 2 months ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆13Updated 2 years ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆80Updated 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
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆54Updated 5 months ago
- ICLR2024 paper on Continual Learning☆36Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆84Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 2 months ago
- PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022☆86Updated last year