DataDistillation / DataDAM
[ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching
☆33Updated 9 months ago
Alternatives and similar repositories for DataDAM:
Users that are interested in DataDAM are comparing it to the libraries listed below
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated last year
- ☆25Updated last year
- Elucidated Dataset Condensation (NeurIPS 2024)☆20Updated 5 months ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆63Updated last month
- ☆27Updated 11 months ago
- [CVPR2024 highlight] Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching (G-VBSM)☆27Updated 5 months ago
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.☆20Updated 8 months ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- A pytorch implementation of CVPR24 paper "D4M: Dataset Distillation via Disentangled Diffusion Model"☆28Updated 6 months ago
- ☆53Updated 2 months ago
- ☆15Updated 9 months ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆13Updated 11 months ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆102Updated 10 months ago
- Prioritize Alignment in Dataset Distillation☆20Updated 3 months ago
- ☆14Updated last year
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆20Updated last year
- Official PyTorch Code for "Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?" (https://arxiv.org/abs/2305.12954)☆46Updated last year
- Efficient Dataset Distillation by Representative Matching☆113Updated last year
- ☆12Updated last year
- ☆17Updated 10 months ago
- ☆23Updated last year
- ☆42Updated last year
- Data distillation benchmark☆58Updated this week
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆112Updated last year
- Probabilistic lifElong Test-time Adaptation with seLf-training prior (PETAL)☆13Updated last year
- (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …☆125Updated 4 months ago
- Respect to the input tensor instead of paramters of NN☆18Updated 2 years ago
- [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion☆91Updated last year