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Feb, 2023
野外AutoML: 障碍、解决方案和期望
AutoML in The Wild: Obstacles, Workarounds, and Expectations
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Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang
TL;DR
本研究通过对19名AutoML用户进行半结构化访谈,发现用户在实际应用中需要面对可定制性、透明度和隐私等方面的限制,并采取一定策略来应对,最终对AutoML的使用产生影响。研究结果提出了未来开发AutoML解决方案的设计建议。
Abstract
automated machine learning
(
automl
) is envisioned to make ML techniques accessible to ordinary users. Recent work has investigated the role of humans in enhancing
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