David Amos

Artificial Intelligence · 2017–2025

A researcher in the Science corpus: 7 papers; trusts 95 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom David Amos trusts overall

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

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

Who trusts David Amos overall

  1. Francesco Locatello
  2. Shuai Tang
  3. Sjoerd van Steenkiste

Papers from David Amos's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers