magic-research / Dataset_QuantizationLinks
[ICCV2023] Dataset Quantization
☆261Updated last year
Alternatives and similar repositories for Dataset_Quantization
Users that are interested in Dataset_Quantization are comparing it to the libraries listed below
Sorting:
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆104Updated last year
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆339Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆188Updated 2 years ago
- Data distillation benchmark☆71Updated 5 months ago
- Dataset pruning for ImageNet and LAION-2B.☆79Updated last year
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆132Updated last year
- Is synthetic data from generative models ready for image recognition?☆184Updated 2 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆102Updated last year
- Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”☆251Updated 3 months ago
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆245Updated 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 11 months ago
- [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers☆105Updated 11 months ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆238Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆93Updated last year
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆90Updated 2 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆78Updated 9 months ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 3 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated last year
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆51Updated 11 months ago
- ☆115Updated 2 years ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆105Updated 2 years ago
- Densely Captioned Images (DCI) dataset repository.☆194Updated last year
- [ICLR 2024] Real-Fake: Effective Training Data Synthesis Through Distribution Matching☆78Updated last year
- ☆113Updated last year
- [NeurIPS 2023] Text data, code and pre-trained models for paper "Improving CLIP Training with Language Rewrites"☆286Updated last year
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆53Updated 10 months ago
- [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
- A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.☆410Updated last year