Kyle Rupnow

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kyle Rupnow trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Quoc V. Le (in Artificial Intelligence)
  2. Barret Zoph (in Artificial Intelligence)

Papers from Kyle Rupnow's perspective

Ordered by how strongly the researchers Kyle Rupnow trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Neural Architecture Search with Reinforcement Learning
  3. Learning Transferable Architectures for Scalable Image Recognition
  4. ImageNet classification with deep convolutional neural networks
  5. MobileNetV2: Inverted Residuals and Linear Bottlenecks
  6. MnasNet: Platform-Aware Neural Architecture Search for Mobile
  7. Regularized Evolution for Image Classifier Architecture Search
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Their papers