Optimizing Neural Networks with Multi Objective Bayesian Optimization and Augmented Random Search
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This poster explores how multiobjective Bayesian optimization for hardware-aware neural architecture search for microcontroller targets can be improved with reinforcement learning, in particular Augmented Random Search (ARS).
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