Multi-Objective NAS for Autonomous Vehicles

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This presentation delves into the realm of multi-objective neural architecture search (NAS) with a focus on autonomous vehicles. It begins by elucidating the key concepts and challenges associated with NAS, followed by an exploration of Local Interpretable Model-agnostic Explanations (LIME) and its limitations. Comprehensive research methodologies, including data collection and experimental setups, are detailed to underpin the empirical findings related to model accuracy and the efficacy of...