Sarah Graham

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Graham trusts overall

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

  1. S. Kotsiantis
  2. Danilo Bzdok
  3. Michael I. Jordan
  4. Jenna Wiens
  5. Jennifer G. Dy
  6. Riccardo Miotto
  7. Zachary Chase Lipton
  8. Wojciech Samek
  9. Oliver Faust
  10. Leo Breiman

Who trusts Sarah Graham overall

  1. Ellen E. Lee
  2. Simon D’Alfonso

Papers from Sarah Graham's perspective

Ordered by how strongly the researchers Sarah Graham 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers