magic-research / Dataset_QuantizationLinks
[ICCV2023] Dataset Quantization
☆262Updated 2 years ago
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☆105Updated last year
- Lossless Training Speed Up by Unbiased Dynamic Data Pruning☆341Updated last year
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- Data distillation benchmark☆72Updated 7 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆136Updated last year
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆191Updated 2 years ago
- Dataset pruning for ImageNet and LAION-2B.☆79Updated 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
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆104Updated last year
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆94Updated last year
- Is synthetic data from generative models ready for image recognition?☆184Updated 2 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 3 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆80Updated 10 months ago
- [TPAMI] Searching prompt modules for parameter-efficient transfer learning.☆238Updated 2 years ago
- [ICLR 2024 (Spotlight)] "Frozen Transformers in Language Models are Effective Visual Encoder Layers"☆247Updated 2 years ago
- ☆114Updated 2 years ago
- [ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers☆105Updated last year
- Official code for our CVPR'22 paper “Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space”☆251Updated 4 months ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- ☆113Updated last year
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆52Updated last year
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆71Updated 2 years ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆28Updated last year
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆53Updated last year
- [ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers☆34Updated last year
- Code release for Deep Incubation (https://arxiv.org/abs/2212.04129)☆91Updated 2 years ago
- [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"☆180Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆67Updated 3 years ago
- ☆62Updated last year