This repository is the official implementation of On Divergence Measures for Bayesian Pseudocoresets (NeurIPS 2022) Before training any Bayesian pseudocoreset, you'll need to generate some expert trajectories using buffer.py ``python python buffer.py --dataset=CIFAR10 --model=ConvNet…
This repository is an official implementation of the paper "FYI: Flip Your Images for Dataset Distillation" using PyTorch.
This is the pytorch implementation of the following NeurIPS 2022 paper:
This repository contains an official PyTorch implementation for the paper Distilling Dataset into Neural Field in ICLR 2025.
This repository includes the implementation for Color-Oriented Redundancy Reduction in Dataset Distillation (Neurips 2024) .
The main features of kevinyuan0314/autopalette are: Dataset Parametrization.
Open-source alternatives to kevinyuan0314/autopalette include: aailab-kaist/ddif — This repository contains an official PyTorch implementation for the paper Distilling Dataset into Neural Field in ICLR… balhaekim/bpc-divergences — This repository is the official implementation of On Divergence Measures for Bayesian Pseudocoresets (NeurIPS 2022)… cvlab-yonsei/fyi — This repository is an official implementation of the paper "FYI: Flip Your Images for Dataset Distillation" using… huage001/datasetfactorization — This is the pytorch implementation of the following NeurIPS 2022 paper:. j-cyoung/gsdatasetdistillation — This repository provides the official implementation of Gaussian Splatting Dataset Distillation (GSDD), a novel sparse… miv-xjtu/speed — The official PyTorch implementation of our NeurIPS 2023 paper:.