William Saunders

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom William Saunders trusts overall

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

  1. Marc G. Bellemare
  2. Hado van Hasselt
  3. Richard S. Sutton
  4. Geoffrey E. Hinton
  5. Volodymyr Mnih
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Paul Christiano
  9. Alex Krizhevsky
  10. Alex Graves

Who trusts William Saunders overall

  1. Richard Ngo
  2. Tom Everitt
  3. Jan Leike
  4. Victoria Krakovna
  5. Geunwoo Kim
  6. Theodore R. Sumers
  7. Alison Smith-Renner
  8. Zhibin Gou
  9. Sean Welleck
  10. Dongyoung Go

Papers from William Saunders's perspective

Ordered by how strongly the researchers William Saunders 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers