thu-ml / HiDe-PromptLinks
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
☆90Updated last year
Alternatives and similar repositories for HiDe-Prompt
Users that are interested in HiDe-Prompt are comparing it to the libraries listed below
Sorting:
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆152Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆153Updated 2 years ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆53Updated last year
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 10 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆100Updated 9 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆125Updated 2 years ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆106Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆35Updated 6 months ago
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆201Updated 2 years ago
- ☆24Updated last year
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆78Updated 8 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆106Updated 3 years ago
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆106Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆69Updated 2 years ago
- ☆71Updated 2 years ago
- ☆22Updated 9 months ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆92Updated 2 years ago
- ☆16Updated last year
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆53Updated 5 months ago
- Instruction Tuning in Continual Learning paradigm☆66Updated 10 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated 2 years ago
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆30Updated 7 months ago
- The official PyTorch code for ICLR'22 Paper "Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Lea…☆53Updated 2 years ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆39Updated 2 years ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆91Updated last year
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆31Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆85Updated last year
- ☆32Updated 10 months ago
- Code for CVPR2022 paper "Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency"☆28Updated 3 years ago
- ICLR2024 paper on Continual Learning☆37Updated last year