Papers

Surveys

• Xin He et al, AutoML: A Survey of the State-of-the-Art, arXiv, 2019.
• Escalante, H. J., Automated Machine Learning-a brief review at the end of the early years, arXiv, 2020.

Neural Architecture Search

• Klyuchnikov et al. 2020, NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing, arXiv, 2020.
• Dong and Yang et al., NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search, ICLR, 2020.
• Chen et al., AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search, arXiv, 2020.
• Li et al., Learning Architectures from an Extended Search Space for Language Modeling, ACL, 2020.
• Jiang et al., Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition, EMNLP-IJCNLP, 2019