scale-lab / MTLoRA
The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning
☆36Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for MTLoRA
- [NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model☆83Updated 11 months ago
- ☆31Updated 4 months ago
- [CVPR 2024] The official pytorch implementation of "A General and Efficient Training for Transformer via Token Expansion".☆42Updated 7 months ago
- [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models☆28Updated last month
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆64Updated last year
- Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS 2022.☆29Updated 2 years ago
- [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning☆80Updated this week
- Awesome-Low-Rank-Adaptation☆40Updated last month
- [ICML 2024] Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning☆44Updated 6 months ago
- [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation☆75Updated 4 months ago
- ☆25Updated last month
- Official PyTorch implementation of Which Tokens to Use? Investigating Token Reduction in Vision Transformers presented at ICCV 2023 NIVT …☆31Updated last year
- ☆77Updated 4 months ago
- Implementation of "VL-Mamba: Exploring State Space Models for Multimodal Learning"☆78Updated 8 months ago
- HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Vision-Language M…☆13Updated 3 months ago
- [CVPR'23] Hard Patches Mining for Masked Image Modeling☆88Updated 11 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆72Updated 7 months ago
- ☆23Updated 3 months ago
- Domain Generalization through Distilling CLIP with Language Guidance☆24Updated last year
- ☆75Updated last year
- [ICCV2023] Official code for "VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control"☆53Updated last year
- This is the official code for paper: Token Summarisation for Efficient Vision Transformers via Graph-based Token Propagation☆25Updated 10 months ago
- MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)☆29Updated 7 months ago
- EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning (ACL 2023)☆22Updated last year
- Official Implementation of Attentive Mask CLIP (ICCV2023, https://arxiv.org/abs/2212.08653)☆24Updated 5 months ago
- Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024☆29Updated 10 months ago
- ☆32Updated last year
- Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)☆67Updated 10 months ago
- CLIP-MoE: Mixture of Experts for CLIP☆17Updated last month
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆171Updated last year