Datasetpublic

ICML2022/EfficientDatasetCondensation

Data summary This repository contains small synthetic data for Image datasets; MNIST, SVHN, and CIFAR-10. Each torch file contains the images and corresponding labels of sizes ranging from 1,10,50 images per class (IPC). For more details, please refer to our GitHub page and paper below. Reference https://github.com/snu-mllab/Efficient-Dataset-Condensation Citation @inproceedings{kimICML22, title = {Dataset Condensation via Efficient… See the full description on the dataset page: https://huggingface.co/datasets/ICML2022/EfficientDatasetCondensation.

sourceHugging Facemitupdated 4y agoView on Hugging Face

2likes121downloads

settings

This repository belongs to ICML2022 on Hugging Face.

Team Ai never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.

nameEfficientDatasetCondensation

visibilitypublic

licencemit

gatedno

ownerICML2022

Account settings