DISTILNAS: NEURAL ARCHITECTURE SEARCH WITH DISTILLED DATA

DistilNAS: Neural Architecture Search With Distilled Data

Can we perform Neural Architecture Search (NAS) Rangehood Switch Box with a smaller subset of target dataset and still fair better in terms of performance with significant reduction in search cost? In this work, we propose a method, called DistilNAS, which utilizes a curriculum learning based approach to distill the target dataset into a very effic

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Detection and Location of Safety Protective Wear in Power Substation Operation Using Wear-Enhanced YOLOv3 Algorithm

Wearing personal safety protective equipment (PSPE) plays a key role in reducing electrical injuries to electrical workers.However, substation employees often ignore this regulation due to lack of safety awareness and discomfortable feeling of wearing PSPE.Therefore, it is necessary to develop a detection algorithm for PSPE and workers to build rea

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Validity Of The Self-Reported Domains Of Subjective Extent Of Nonadherence (DOSE-Nonadherence) Scale In Comparison With Electronically Monitored Adherence To Cardiovascular Medications

Talea Cornelius,1 Corrine I Voils,2,3 Redeana C Umland,1 Ian M Kronish1 1Center for Behavioral Cardiovascular Health, Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA; 2William S Middleton Veterans Memorial Hospital, Madison, WI 53705, USA; 3Department of Surgery, University of Wisconsin-Madison School of M

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