Efficient Multi-Objective Neural Architecture Search via Tree Search with Training-Free Metrics

Key Points

• This approach enhances multi-objective optimization for architecture search.
• Key evidence shows significant improvements in optimization metrics and performance efficiency.
• Observational analysis employs tree search coupled with training-free metrics for effective architecture discovery.
• This method supports better design choices in machine learning, though external validation is needed.