Sarah Dean

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 5 papers; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Dean trusts overall

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

  1. Johan Löfberg
  2. Moritz Hardt
  3. Maryam Fazel
  4. Mi Ching Tsai
  5. Horia Mania
  6. B. Recht
  7. Steven Diamond
  8. Stephen Tu
  9. Max Simchowitz
  10. Yasin Abbasi-Yadkori

Who trusts Sarah Dean overall

  1. B. Recht
  2. Horia Mania
  3. Nikolai Matni
  4. Stephen Tu
  5. Samet Oymak
  6. Ivan Markovsky
  7. Huazhe Xu
  8. Ross Boczar
  9. Michael Janner
  10. Atiye Alaeddini

Papers from Sarah Dean's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Human-level control through deep reinforcement learning
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers