Abstract: Dataset distillation is an effective technique for reducing the cost and complexity of model training while maintaining performance by compressing large datasets into smaller, more efficient ...

This repository is a simple reference, mainly focuses on basic knowledge distillation/transfer methods. Thus many tricks and variations, such as step-by-step training, iterative training, ensemble of ...

Water purity is essential for various laboratory applications, from analytical testing to pharmaceutical formulations. Among the different water purification methods, distillation remains one of the ...

A number of refineries utilize a combination of technologies to effectively measure and enhance the distillation of crude oil into isolated hydrocarbon components, in order for them to be processed ...

Quantum distillers Sebastian Ecker and Martin Bohmann prepare the single-copy entanglement experiment, delicately aligning optics used for preparing the photon pairs. Credit: ÖAW/Klaus Pichler Quantum ...