NUS-HPC-AI-Lab / R-MeeToLinks
Give us minutes, we give back a faster Mamba. The official implementation of "Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training".
☆40Updated 10 months ago
Alternatives and similar repositories for R-MeeTo
Users that are interested in R-MeeTo are comparing it to the libraries listed below
Sorting:
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆49Updated 9 months ago
- Data distillation benchmark☆68Updated 4 months ago
- This repository organizes the Imagnet1k dataset into 10 coarse classes, where each class consists of semantically similar image categorie…☆22Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated last year
- [ICCV2023] Dataset Quantization☆259Updated last year
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- ☆34Updated 4 months ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆188Updated 2 years ago
- LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models☆150Updated last month
- [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆80Updated 3 weeks ago
- [ICCV 23]An approach to enhance the efficiency of Vision Transformer (ViT) by concurrently employing token pruning and token merging tech…☆101Updated 2 years ago
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆341Updated last year
- A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.☆74Updated 9 months ago
- [NeurIPS'25] HoliTom: Holistic Token Merging for Fast Video Large Language Models☆49Updated 2 weeks ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆130Updated 11 months ago
- Dimple, the first Discrete Diffusion Multimodal Large Language Model☆108Updated 3 months ago
- (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction☆132Updated 7 months ago
- [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".☆176Updated 4 months ago
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆244Updated last year
- [NeurIPS 24] MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks☆131Updated 11 months ago
- [ICCV'25] The official code of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"☆63Updated 3 weeks ago
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆90Updated last year
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆52Updated 9 months ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆29Updated last year
- MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer☆48Updated last year
- ☆91Updated 2 years ago
- [ICLR'25] Reconstructive Visual Instruction Tuning☆121Updated 6 months ago
- ☆61Updated 5 months ago
- ☆112Updated last year