Minhchuyentoancbn / MoE_PromptCLLinks
Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)
☆40Updated 5 months ago
Alternatives and similar repositories for MoE_PromptCL
Users that are interested in MoE_PromptCL are comparing it to the libraries listed below
Sorting:
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 11 months ago
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆30Updated 7 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆20Updated 2 months ago
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆156Updated 2 years ago
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆31Updated 9 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆90Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆92Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆102Updated 10 months 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
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆60Updated 9 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆106Updated last year
- ☆22Updated 10 months ago
- ICLR2024 paper on Continual Learning☆38Updated last year
- Official PyTorch implementation of our ICCV2023 paper “When Prompt-based Incremental Learning Does Not Meet Strong Pretraining”☆16Updated 2 years ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆39Updated 2 years ago
- Instruction Tuning in Continual Learning paradigm☆70Updated 11 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆56Updated 6 months ago
- ☆24Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆125Updated 2 years ago
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆36Updated 7 months ago
- [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.☆80Updated 9 months ago
- Code for our NeurIPS´24 paper☆38Updated last year
- Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.☆18Updated last year
- ☆32Updated 10 months ago
- The code implementation of the <Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning> in The Co…☆14Updated 2 years ago
- Official repository for "CLIP model is an Efficient Continual Learner".☆108Updated 3 years ago
- [ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class…☆93Updated 2 years ago
- ☆55Updated 2 years ago