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ml:neural_architecture_search [2023/06/15 07:36] – external edit 127.0.0.1ml:neural_architecture_search [2025/05/05 08:43] (current) – [Papers] jmflanig
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 ====== Neural Architecture Search ====== ====== Neural Architecture Search ======
 +
 +===== Overviews =====
 +  * [[https://arxiv.org/pdf/2301.08727|White et al 2023 - Neural Architecture Search: Insights from 1000 Papers]]
  
 ===== 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]]   * [[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]]   * 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]]   * 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/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 ===== ===== Related Pages =====
   * [[Meta-Learning]]   * [[Meta-Learning]]
ml/neural_architecture_search.1686814574.txt.gz · Last modified: 2023/06/15 07:36 by 127.0.0.1

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