ASP: Automatic Selection of Proxy dataset for efficient AutoML

Deep neural networks have gained great success due to the increasing amounts of data, and diverse effective neural network designs. However, it also brings a heavy computing burden as the amount of training data is proportional to the training time. In addition, a well-behaved model requires repeate...

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Bibliographische Detailangaben
Hauptverfasser: Yao, Peng, Liao, Chao, Jia, Jiyuan, Tan, Jianchao, Chen, Bin, Song, Chengru, Zhang, Di
Format: Artikel
Sprache:eng
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