David Saxton

Artificial Intelligence · 2012–2019

A researcher in the Science corpus: 8 papers; trusts 173 researchers and is trusted by 100 researchers here, as inferred from the citation graph.

Subfields

Whom David Saxton trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Sutskever
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Jimmy Ba
  8. Alex Graves
  9. Sepp Hochreiter
  10. J. Urgen Schmidhuber

Who trusts David Saxton overall

  1. Robert Morris
  2. Jozsef Balogh
  3. Guillaume Lample
  4. David Conlon
  5. Sam Mattheus
  6. Rodrigo Nogueira
  7. Swaroop Mishra
  8. Jacques Verstraëte
  9. Stella Biderman
  10. Wojciech Samotij

Papers from David Saxton's perspective

Ordered by how strongly the researchers David Saxton 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers