H. Francis Song

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 11 papers; trusts 142 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom H. Francis Song trusts overall

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

  1. Richard S. Sutton
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Alex Graves
  6. Ronald J. Williams
  7. Diederik P. Kingma
  8. J. Urgen Schmidhuber
  9. Alex Krizhevsky
  10. Razvan Pascanu

Who trusts H. Francis Song overall

  1. Emilio Parisotto
  2. Hengyuan Hu
  3. Josh Merel
  4. Sven Gronauer
  5. Guangyu Robert Yang
  6. Caglar Gulcehre
  7. Ofir Nachum
  8. Jakob N. Foerster
  9. Arrasy Rahman
  10. Georgios Papoudakis

Papers from H. Francis Song's perspective

Ordered by how strongly the researchers H. Francis Song 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. 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