====== Neural Architecture Search ======

===== Overviews =====
  * [[https://arxiv.org/pdf/2301.08727|White et al 2023 - Neural Architecture Search: Insights from 1000 Papers]]

===== Papers =====
  * [[https://arxiv.org/pdf/1611.01578|Zoph & Le 2016 - Neural Architecture Search with Reinforcement Learning]]
  * [[https://arxiv.org/pdf/1706.05137.pdf|Kaiser et al 2017 - One Model To Learn Them All]]
  * ENAS: [[https://arxiv.org/pdf/1802.03268.pdf|Pham et al 2018 - Efficient Neural Architecture Search via Parameter Sharing]]
  * DARTS: [[https://arxiv.org/pdf/1806.09055.pdf|Liu et al 2018 - DARTS: Differentiable Architecture Search]]
  * [[https://arxiv.org/pdf/1901.11117.pdf]|So et al 2019 - The Evolved Transformer]]
  * [[https://arxiv.org/pdf/2306.00288.pdf|Serianni & Kalita 2023 - Training-free Neural Architecture Search for RNNs and Transformers]] Very cool. Predicts the performance of the network to do NAS

===== Related Pages =====
  * [[Meta-Learning]]