NUS-HPC-AI-Lab / Dynamic-TuningLinks
The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"
☆52Updated last year
Alternatives and similar repositories for Dynamic-Tuning
Users that are interested in Dynamic-Tuning are comparing it to the libraries listed below
Sorting:
- [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆96Updated 2 months ago
- [ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers☆34Updated 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 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆75Updated 2 years ago
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆105Updated 2 years ago
- [NeurIPS 24] MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks☆134Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆94Updated 2 years ago
- A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.☆80Updated 3 months ago
- MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer☆50Updated last year
- LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models☆162Updated 4 months ago
- ☆93Updated 2 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆105Updated last year
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆53Updated last year
- [ICCV'25] The official code of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"☆68Updated 3 weeks ago
- ☆29Updated 11 months ago
- [ICCV 2025] Official implementation of LLaVA-KD: A Framework of Distilling Multimodal Large Language Models☆124Updated 3 months ago
- Data distillation benchmark☆71Updated 7 months ago
- (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction☆141Updated 10 months ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆192Updated 2 years ago
- Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model☆37Updated last year
- Adapting LLaMA Decoder to Vision Transformer☆30Updated last year
- [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference" and "Sp…☆234Updated last month
- [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…☆44Updated 9 months ago
- [CVPR 2025] Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training☆100Updated 6 months ago
- [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"☆69Updated last year
- ☆64Updated last week
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆104Updated last year
- [ICLR2025] γ -MOD: Mixture-of-Depth Adaptation for Multimodal Large Language Models☆42Updated 3 months ago
- [CVPR 2025] PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models☆55Updated this week
- [NeurIPS'24] Official implementation of paper "Unveiling the Tapestry of Consistency in Large Vision-Language Models".☆38Updated last year