WebApr 15, 2024 · Dataset Condensation is a newly emerging technique aiming at learning a tiny dataset that captures the rich information encoded in the original dataset. 2 Paper … WebJun 10, 2024 · This paper proposes a training set synthesis technique, called Dataset Condensation, that learns to produce a small set of informative samples for training deep neural networks from scratch in a...

Dataset Distillation by Matching Training Trajectories

WebDataset Condensation is a newly emerging technique aiming at learning a tiny dataset that captures the rich information encoded in the original dataset. As the size of datasets contemporary machine learning models rely on becomes increasingly large, condensation methods become a prominent direction for accelerating network training and reducing ... WebAug 21, 2024 · Instead of condensing the dataset directly in the original input space, we assume a generative process of the dataset with a set of learnable codes defined in a … game of thrones chickens

DC-BENCH: Dataset Condensation Benchmark

WebA recent approach, dataset condensation (or distillation) Wang et al. (2024); Zhao et al. (2024), aims to learn a small synthetic training set so that a model trained WebFeb 16, 2024 · Dataset Condensation with Differentiable Siamese Augmentation 02/16/2024 ∙ by Bo Zhao, et al. ∙ 5 ∙ share In many machine learning problems, large-scale datasets have become the de-facto standard to train state-of-the-art deep networks at the price of heavy computation load. WebThis work provides the first large-scale standardized benchmark on Dataset Condensation. It consists of a suite of evaluations to comprehensively reflect the generability and … blackfoot hotel calgary