Paul N. Whatmough

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 4 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paul N. Whatmough trusts overall

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

  1. Yann LeCun
  2. Alex Krizhevsky
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. L. Eon Bottou
  9. Karen Simonyan
  10. Radford M. Neal

Who trusts Paul N. Whatmough overall

  1. Udit Gupta
  2. Weizhe Hua
  3. Tien-Ju Yang
  4. Minsoo Rhu

Papers from Paul N. Whatmough's perspective

Ordered by how strongly the researchers Paul N. Whatmough 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. 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