shaoshitong / EDCLinks
Elucidated Dataset Condensation (NeurIPS 2024)
☆21Updated 11 months ago
Alternatives and similar repositories for EDC
Users that are interested in EDC are comparing it to the libraries listed below
Sorting:
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆29Updated 11 months ago
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆129Updated 10 months ago
- Data distillation benchmark☆68Updated 3 months ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆101Updated last year
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆74Updated 6 months ago
- Official Implementation of paper "Distilling Long-tailed Datasets" [CVPR 2025]☆17Updated last month
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆98Updated last year
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- Prioritize Alignment in Dataset Distillation☆19Updated 9 months ago
- ☆14Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- Code for our ICML'24 on multimodal dataset distillation☆38Updated 11 months ago
- ☆29Updated last year
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆48Updated 8 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated 2 years ago
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆21Updated last year
- ☆58Updated 8 months ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆90Updated last year
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆35Updated last year
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 2 years ago
- ☆16Updated last year
- CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)☆49Updated 8 months ago
- [NeurIPS 2024] AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models☆27Updated 3 months ago
- Instruction Tuning in Continual Learning paradigm☆58Updated 7 months ago
- ☆26Updated 2 years ago
- Respect to the input tensor instead of paramters of NN☆21Updated 3 years ago
- ☆87Updated 2 years ago
- ☆42Updated 2 years ago
- Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes☆87Updated last year