Images about adaptive search based on partial evaluations, automated search space refinement, bayesian optimization, better initialization techniques, continuous online nas, differentiable nas darts, domain-specific search spaces, evolutionary algorithms, graph neural networks for architecture representation, hardware-aware nas, integration with hyperparameter optimization, meta-learning and transfer learning approaches, multi-objective nas, neural predictors and learned pruning, reinforcement learning-based controllers, robustness and stability criteria, scalable methods for large-scale problems, stochastic and dynamic search strategies, surrogate modeling for performance prediction, and weight sharing and one-shot models.