Neural Architecture Search Reading List

Curated by Mouhssine Rifaki | Stanford Electrical Engineering | Last updated August 2026

Key papers on neural architecture search, from early reinforcement learning and evolutionary approaches to differentiable search.

Neural Architecture Search: 10 key papers

1. Neural Architecture Search with Reinforcement Learning
   Zoph and Le. arXiv 2016.
2. Efficient Neural Architecture Search via Parameter Sharing
   Pham et al. arXiv 2018.
3. DARTS: Differentiable Architecture Search
   Liu et al. arXiv 2018.
4. Regularized Evolution for Image Classifier Architecture Search
   Real et al. arXiv 2018.
5. Neural Architecture Search: A Survey
   Elsken et al. arXiv 2018.
6. Progressive Neural Architecture Search
   Liu et al. arXiv 2017.
7. Once-for-All: Train One Network and Specialize it for Efficient Deployment
   Cai et al. arXiv 2019.
8. Random Search and Reproducibility for Neural Architecture Search
   Li and Talwalkar. arXiv 2019.
9. NAS-Bench-101: Towards Reproducible Neural Architecture Search
   Ying et al. arXiv 2019.
10. SNAS: Stochastic Neural Architecture Search
    Xie et al. arXiv 2018.

Related reading lists

• Quality-Diversity & Novelty Search
• Monte Carlo Tree Search
• Continual & Lifelong Learning
• Classical Planning & Search Algorithms
• Generative Modeling
• Exploration in Reinforcement Learning
• Domain Adaptation & Domain Generalization
• Hierarchical RL & Options Framework