NUS-HPC-AI-Lab / Dynamic-TuningLinks
The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"
☆51Updated 11 months ago
Alternatives and similar repositories for Dynamic-Tuning
Users that are interested in Dynamic-Tuning are comparing it to the libraries listed below
Sorting:
- [NeurIPS 24] MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks☆132Updated last year
- Give us minutes, we give back a faster Mamba. The official implementation of "Faster Vision Mamba is Rebuilt in Minutes via Merged Token …☆40Updated last year
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆104Updated 2 years ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆190Updated 2 years ago
- LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models☆157Updated 2 months ago
- ☆91Updated 2 years ago
- MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer☆49Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆93Updated last year
- [ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers☆34Updated 11 months ago
- A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.☆77Updated last month
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆75Updated 2 years ago
- Official PyTorch implementation of Which Tokens to Use? Investigating Token Reduction in Vision Transformers presented at ICCV 2023 NIVT …☆35Updated 2 years ago
- Data distillation benchmark☆71Updated 6 months ago
- [ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass☆197Updated 2 years ago
- [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…☆43Updated 8 months ago
- [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆93Updated last month
- (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction☆134Updated 9 months ago
- [ICCV 2025] Official implementation of LLaVA-KD: A Framework of Distilling Multimodal Large Language Models☆115Updated 2 months ago
- Adapting LLaMA Decoder to Vision Transformer☆30Updated last year
- [ICCV'25] The official code of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"☆66Updated 3 weeks ago
- ☆28Updated 9 months ago
- Implementation of "VL-Mamba: Exploring State Space Models for Multimodal Learning"☆85Updated last year
- [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".☆210Updated last week
- [NeurIPS'25] HoliTom: Holistic Token Merging for Fast Video Large Language Models☆66Updated 2 months ago
- [ECCV 2024] Official PyTorch implementation of DreamLIP: Language-Image Pre-training with Long Captions☆135Updated 7 months ago
- [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation☆135Updated 4 months ago
- [ICLR2025] γ -MOD: Mixture-of-Depth Adaptation for Multimodal Large Language Models☆40Updated last month
- [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"☆68Updated last year
- ☆62Updated 7 months ago
- [CVPR 2025] Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training☆96Updated 5 months ago