A Transferable General-Purpose Predictor for Neural Architecture Search

no code implementations • 29 Sep 2021 • Fred X. Han, Fabian Chudak, Keith G Mills, Mohammad Salameh, Parsa Riahi, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu

Understanding and modelling the performance of neural architectures is key to Neural Architecture Search (NAS).

Contrastive Learning Graph Representation Learning +1

Generative Adversarial Neural Architecture Search with Importance Sampling

no code implementations • 1 Jan 2021 • SEYED SAEED CHANGIZ REZAEI, Fred X. Han, Di Niu, Mohammad Salameh, Keith G Mills, Shangling Jui

Despite the empirical success of neural architecture search (NAS) algorithms in deep learning applications, the optimality, reproducibility and cost of NAS schemes remain hard to be assessed.

Neural Architecture Search