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Specifically, forthesearchspacesandtasks, we use NAS-Bench-101 (CIFAR-10), NAS-Bench-201 (CIFAR-10, CIFAR-100, and ImageNet16-120), NAS-Bench-301 (CIFAR-10), and TransN AS-Bench-101 Microand Macro (Jigsaw, Object Classification, Scene Classification, Autoencoder) from NAS-Bench-Suite. Weconsiderall 44Karchitecturesreferencedin Table 2. See Table 3 and Appendix Dforthefullresults.
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.88)