ECNU-ICALK / CL-MoELinks
[CVPR 2025] CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering
☆37Updated 4 months ago
Alternatives and similar repositories for CL-MoE
Users that are interested in CL-MoE are comparing it to the libraries listed below
Sorting:
- Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]☆34Updated 4 months ago
- The official implementation of the CVPR'2024 work Interference-Free Low-Rank Adaptation for Continual Learning☆93Updated 7 months ago
- ☆145Updated 11 months ago
- Instruction Tuning in Continual Learning paradigm☆64Updated 9 months ago
- ☆31Updated 8 months ago
- [ICLR 2025] Official Implementation of Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection☆47Updated 3 months ago
- Official Repository for ICML 2024 Paper "OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport"☆18Updated last year
- Awsome of VLM-CL. Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting☆107Updated 2 weeks ago
- Code for our NeurIPS´24 paper☆36Updated last year
- Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models☆103Updated last year
- Code for ICML2023 paper, DDGR: Continual Learning with Deep Diffusion-based Generative Replay.☆39Updated 2 years ago
- Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality (NeurIPS 2023, Spotlight)☆87Updated 11 months ago
- 🔎Official code for our paper: "VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation".☆45Updated 7 months ago
- Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.☆50Updated last year
- [CVPR2025] The implementation of the paper "OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary".☆19Updated 6 months ago
- Learning without Forgetting for Vision-Language Models (TPAMI 2025)☆45Updated 4 months ago
- [ACM Computing Survey 2025] Recent Advances of Foundation Language Models-based Continual Learning: A Survey☆22Updated last month
- ☆53Updated 4 months ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆54Updated last year
- Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"☆83Updated last year
- [NeurIPS 2023] Generalized Logit Adjustment☆39Updated last year
- [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"☆21Updated last year
- ☆59Updated 10 months ago
- [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models☆44Updated 7 months ago
- [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …☆31Updated last year
- Official implementation of CVPR 2024 paper "Prompt Learning via Meta-Regularization".☆30Updated 8 months ago
- Pytorch implementation for "Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning" (ICML 2024)☆23Updated 5 months ago
- [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models☆82Updated last year
- Code for Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models☆26Updated last year
- Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))☆199Updated 3 years ago