David Talbot

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom David Talbot trusts overall

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

  1. Andreas Stolcke
  2. Franz Joseph Och
  3. Diederik P. Kingma
  4. Philipp Koehn
  5. Rico Sennrich
  6. Philip Clarkson
  7. Peter F. Brown
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Bernard Chazelle

Who trusts David Talbot overall

  1. David Chiang
  2. Holger Schwenk
  3. Marc Marone
  4. Kenneth Heafield
  5. Benjamin Van Durme
  6. Philipp Koehn
  7. Armand Joulin
  8. Hila Chefer
  9. Alexander M. Fraser
  10. Thorsten Brants

Papers from David Talbot's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers