Minhchuyentoancbn / MoE_PromptCLLinks
Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)
☆36Updated last month
Alternatives and similar repositories for MoE_PromptCL
Users that are interested in MoE_PromptCL are comparing it to the libraries listed below
Sorting:
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆29Updated 5 months ago
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆29Updated 3 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆87Updated 6 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆19Updated 11 months ago
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated last year
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆87Updated last year
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆149Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆150Updated last year
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆87Updated 10 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆51Updated 7 months ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆55Updated 5 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆44Updated 2 months ago
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆99Updated last year
- ☆54Updated last year
- Code for our NeurIPS´24 paper☆35Updated 10 months ago
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆40Updated 2 years ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning (CVPR 2025)☆24Updated 3 months ago
- ☆22Updated last year
- ICLR2024 paper on Continual Learning☆36Updated last year
- 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
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆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 …☆50Updated last year
- ☆23Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 3 months ago
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆120Updated 2 years ago
- Instruction Tuning in Continual Learning paradigm☆58Updated 7 months ago
- Official PyTorch implementation of our ICCV2023 paper “When Prompt-based Incremental Learning Does Not Meet Strong Pretraining”☆16Updated last year
- ☆21Updated 6 months ago
- ☆31Updated 11 months ago
- ☆28Updated 6 months ago