swaggy-TN / EfficientVLM
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning (ACL 2023)
☆24Updated last year
Alternatives and similar repositories for EfficientVLM:
Users that are interested in EfficientVLM are comparing it to the libraries listed below
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- [ICCV2023] Official code for "VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control"☆53Updated last year
- The released data for paper "Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models".☆32Updated last year
- [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning☆31Updated last year
- ☆26Updated 11 months ago
- [ACL 2023] Code for paper “Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation”(https://arxiv.org/abs/2305.…☆38Updated last year
- code for "Multitask Vision-Language Prompt Tuning" https://arxiv.org/abs/2211.11720☆55Updated 9 months ago
- [ACL 2023] Delving into the Openness of CLIP☆23Updated 2 years ago
- Mixture of Attention Heads☆41Updated 2 years ago
- ☆19Updated last year
- ☆38Updated last year
- Code for ACL 2023 Oral Paper: ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning☆11Updated 2 months ago
- [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…☆23Updated last month
- Structured Pruning Adapters in PyTorch☆16Updated last year
- [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.☆27Updated last year
- The code for "VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by VIdeo SpatioTemporal Augmentation" [CVPR2025]☆14Updated 2 weeks ago
- [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…☆25Updated 3 years ago
- ☆39Updated 4 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆63Updated 9 months ago
- Preference Learning for LLaVA☆39Updated 4 months ago
- This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…☆75Updated 2 weeks ago
- ☆94Updated last year
- BESA is a differentiable weight pruning technique for large language models.☆14Updated last year
- Compress conventional Vision-Language Pre-training data☆49Updated last year
- We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their…☆13Updated 3 months ago
- This repository is the implementation of the paper Training Free Pretrained Model Merging (CVPR2024).☆29Updated last year
- (CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers☆25Updated 2 weeks ago
- ☆17Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆48Updated 2 years ago