Definition
Methods that search for the best neural network design automatically, rather than having humans hand-tune it.
Neural Architecture Search — a family of automated methods for discovering high-performing network architectures via reinforcement learning, evolutionary search, gradient-based methods, or, more recently, LLM-driven agentic search.
Also called: Neural Architecture Search