Nathan Killoran

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 12 papers; trusts 90 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Nathan Killoran trusts overall

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

  1. Diederik P. Kingma
  2. Maria Schuld
  3. Edward Farhi
  4. Geoffrey E. Hinton
  5. Jarrod R. McClean
  6. Yann LeCun
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Alex Graves
  10. Sepp Hochreiter

Who trusts Nathan Killoran overall

  1. Maria Schuld
  2. Josh A. Izaac
  3. Ville Bergholm
  4. Andrea Mari
  5. Thomas R. Bromley
  6. M. Cerezo
  7. Yudong Cao
  8. Seth Lloyd
  9. Ryan Larose
  10. David Wierichs

Papers from Nathan Killoran's perspective

Ordered by how strongly the researchers Nathan Killoran 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions

Their papers