thu-ml / HiDe-Prompt
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)
☆79Updated 2 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)☆130Updated 5 months ago
- ☆41Updated 10 months ago
- SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model @ ICCV 2023 **AND** SLCA++: Unleash the Power …☆41Updated 5 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆133Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆58Updated 4 months ago
- The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning"(CVPR24) in PyTorch.☆62Updated 5 months ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆85Updated last year
- PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22☆185Updated last year
- [ICCV 2023] A Unified Continual Learning Framework with General Parameter-Efficient Tuning☆75Updated 3 months ago
- ☆26Updated 4 months ago
- ☆20Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆92Updated 4 months ago
- 📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models☆48Updated 11 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆108Updated last year
- The code repository for "A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning" (ICLR'23) in PyTorch☆41Updated last year
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆34Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆31Updated 7 months ago
- The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.☆51Updated 2 years ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆86Updated 10 months ago
- Instruction Tuning in Continual Learning paradigm☆38Updated last month
- ☆13Updated 4 months ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆88Updated 2 years ago
- Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning☆25Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆61Updated 5 months ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆34Updated last year
- Code for "Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning"☆19Updated 2 years ago
- Code Implementation for CVPR 2023 Paper: Class-Incremental Exemplar Compression for Class-Incremental Learning☆24Updated last year
- ☆47Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆36Updated 2 months ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆35Updated 2 years ago