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Eureka: Edge-Based Discovery of Training Data for Machine Learning | IEEE Journals & Magazine | IEEE Xplore

Eureka: Edge-Based Discovery of Training Data for Machine Learning


Abstract:

The generation of high-quality training data has become the key bottleneck in the use of deep learning across many domains. In this paper, we describe Eureka, an interact...Show More

Abstract:

The generation of high-quality training data has become the key bottleneck in the use of deep learning across many domains. In this paper, we describe Eureka, an interactive system that leverages edge computing and early discard to greatly improve the productivity of experts in the construction of a labeled dataset. Our experimental results show that Eureka reduces the labeling effort needed to construct a training set by two orders of magnitude relative to a brute-force approach.
Published in: IEEE Internet Computing ( Volume: 23, Issue: 4, 01 July-Aug. 2019)
Page(s): 35 - 42
Date of Publication: 14 January 2019

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