thu-ml / HiDe-Prompt
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
☆82Updated 4 months ago
Alternatives and similar repositories for HiDe-Prompt:
Users that are interested in HiDe-Prompt are comparing it to the libraries listed below
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆135Updated 7 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆45Updated last month
- 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 3 weeks ago
- ☆26Updated 6 months ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆33Updated 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
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆69Updated 7 months ago
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆78Updated 5 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆91Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆97Updated 6 months ago
- ☆21Updated 3 weeks ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆37Updated last year
- ☆16Updated 6 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆116Updated 2 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆92Updated 2 years ago
- ☆18Updated 11 months ago
- Instruction Tuning in Continual Learning paradigm☆44Updated 2 months ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆71Updated 7 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆42Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆65Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆190Updated last year
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆52Updated last year
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆51Updated 2 years ago
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆76Updated 11 months ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆86Updated last year
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆26Updated 9 months ago
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆24Updated 6 months ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆24Updated last year
- Code for our NeurIPS´24 paper☆28Updated 5 months ago