Tom Y. Ouyang

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 5 papers; trusts 58 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Tom Y. Ouyang trusts overall

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

  1. Alex Graves
  2. Sepp Hochreiter
  3. J. Urgen Schmidhuber
  4. Geoffrey E. Hinton
  5. Mehryar Mohri
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Lawrence R. Rabiner
  9. Hasim Sak
  10. Diederik P. Kingma

Who trusts Tom Y. Ouyang overall

  1. Mingqing Chen
  2. Isaac Caswell
  3. Fan Lai
  4. Rajiv Mathews
  5. Ananda Theertha Suresh
  6. Theresa Breiner

Papers from Tom Y. Ouyang's perspective

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

Their papers