Richard Sproat

Natural Language Processing · 2001–2019

A researcher in the Science corpus: 8 papers; trusts 56 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Sproat trusts overall

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

  1. Yoshua Bengio
  2. Alex Graves
  3. Peter Ebden
  4. Geoffrey E. Hinton
  5. Tomas Mikolov
  6. Frederick Jelinek
  7. Brian Roark
  8. Volodymyr Mnih
  9. Michael Collins
  10. Ian J. Goodfellow

Who trusts Richard Sproat overall

  1. Felix Stahlberg
  2. Xu Tan
  3. Hao Zhang
  4. Sevinj Yolchuyeva
  5. Yuxuan Wang
  6. Igor Jauk
  7. Georg I. Schlünz
  8. Kishore Prahallad
  9. Courtney Mansfield
  10. Tao Qin

Papers from Richard Sproat's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers