نتایج جستجو برای: distilling

تعداد نتایج: 796  

Journal: :Electronic Proceedings in Theoretical Computer Science 2020

Journal: :Journal of The Society of Chemical Industry 1910

1997
David W. McDonald Mark S. Ackerman

The conceptual framework of a new system, Collaborative Refinery, is motivated by a scenario involving the creation of an FAQ. The scenario introduces the concepts of collecting, culling, organizing and distilling. Distilling is a specialized form of collaborative authoring with support for content selection and genre. The Web-based user interface supporting access to the four conceptual functi...

Journal: :Educational Technology & Society 2001
John Laurie

In the past twenty years the Internet has grown, from text -entry green-screen communication between the military, a few universities and res earchers, to a visually-based mass communication and advertising medium and even a tool for political activists. This growth has been ad hoc, spectacular and peripatetic. The advent of the GUI into mainstream computing was the point at which the Internet ...

Journal: :CoRR 2017
Elliot Crowley Gavin Gray Amos J. Storkey

Model distillation compresses a trained machine learning model, such as a neural network, into a smaller alternative such that it could be easily deployed in a resource limited setting. Unfortunately, this requires engineering two architectures: a student architecture smaller than the first teacher architecture but trained to emulate it. In this paper, we present a distillation strategy that pr...

2009
Johnnie Walker

 Strategic planning aims to harness a company’s core competencies to capitalise on identified environmental opportunities and minimise or avoid environmental threats.  As marketing managers bridge the gap between company, customers, competitors and channels of distribution, they not only manage their marketing strategies, but also tend to be highly influential in business and corporate strate...

Journal: :Lecture Notes in Computer Science 2022

StyleGAN family is one of the most popular Generative Adversarial Networks (GANs) for unconditional generation. Despite its impressive performance, high demand on storage and computation impedes their deployment resource-constrained devices. This paper provides a comprehensive study distilling from StyleGAN-like architecture. Our key insight that main challenge distillation lies in output discr...

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