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500+ times faster than deep learning

2018/02/14 by Suvodeep Majumder, Nikhila Balaji, Katie Brey +2 · 1 voice
Computer Science · #Software Engineering Research #Topic Modeling #Web Data Mining and Analysis #cs.LG #cs.SE #stat.ML

paper · pdf · doi:10.1145/3196398.3196424

openalex publication_date 2018/05/28 · openalex created_date 2019/07/30 · openalex updated_date 2026/07/29

Abstract

Deep learning methods are useful for high-dimensional data and are becoming widely used in many areas of software engineering. Deep learners utilizes extensive computational power and can take a long time to train- making it difficult to widely validate and repeat and improve their results. Further, they are not the best solution in all domains. For example, recent results show that for finding related Stack Overflow posts, a tuned SVM performs similarly to a deep learner, but is significantly faster to train.

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