TAPAS: Train-less Accuracy Predictor for Architecture Search

1 Jun 2018R. IstrateF. ScheideggerG. MarianiD. NikolopoulosC. BekasA. C. I. Malossi

In recent years an increasing number of researchers and practitioners have been suggesting algorithms for large-scale neural network architecture search: genetic algorithms, reinforcement learning, learning curve extrapolation, and accuracy predictors. None of them, however, demonstrated high-performance without training new experiments in the presence of unseen datasets... (read more)

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