We invite submissions on the topics of:

• Model selection, hyper-parameter optimization, and model search
• Neural architecture search
• Internet of things (IoT) and automation
• Automation bias and misuse
• Meta-learning and transfer learning
• Bayesian optimization for AutoML
• Evolutionary algorithms for AutoML
• Multi-fidelity optimization
• Predictive models of performance
• Automatic feature extraction / construction
• Automatic data cleaning
• Automatic feature engineering
• Automation of semi-supervised and unsupervised machine learning
• Robustness of AutoML systems
• Human-in-the-loop approaches for AutoML
• Trust in AutoML
• Learning to learn new algorithms and strategies
• Hyperparameter agnostic algorithms
• AutoML for neuro-fuzzy systems