Minhchuyentoancbn / MoE_PromptCLLinks
Official implementation of "Mixture of Experts Meets Prompt-Based Continual Learning" (NeurIPS 2024)
☆39Updated 4 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:
- 🔥 🔥 [ECCV 2024 Oral ] Official code for "Weighted Ensemble Models Are Strong Continual Learners"☆31Updated 8 months ago
- [ICLR 2024] - Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning☆30Updated 7 months ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆57Updated 10 months ago
- Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)☆20Updated last month
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆92Updated last year
- PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"☆154Updated 2 years ago
- ☆22Updated 9 months ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆90Updated last year
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆100Updated 9 months ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆152Updated last year
- Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"☆43Updated 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
- ☆24Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆106Updated last year
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆39Updated 2 years ago
- Code for our NeurIPS´24 paper☆38Updated last year
- PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22☆125Updated 2 years ago
- [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!☆60Updated 9 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆54Updated 5 months ago
- Instruction Tuning in Continual Learning paradigm☆66Updated 10 months ago
- ICLR2024 paper on Continual Learning☆37Updated last year
- Official PyTorch implementation of our ICCV2023 paper “When Prompt-based Incremental Learning Does Not Meet Strong Pretraining”☆16Updated last year
- 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
- ☆32Updated 10 months ago
- Learnable drift compensation (LDC) reduces semantic drift in continual learning using a trainable projector to map between tasks.☆18Updated 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
- ☆29Updated last year
- ☆16Updated last year
- Code for NeurIPS 2023 paper - FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning☆41Updated last year
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆35Updated 6 months ago