Colin Bannard

Artificial Intelligence · 2005–2018

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 68 researchers here, as inferred from the citation graph.

Subfields

Whom Colin Bannard trusts overall

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

  1. Dekang Lin
  2. Philipp Koehn
  3. Regina Barzilay
  4. Franz Joseph Och
  5. Peter F. Brown
  6. Daniel Marcu
  7. Patrick Pantel
  8. Salim Roukos
  9. Stephen Della Pietra
  10. K. McKeown

Who trusts Colin Bannard overall

  1. John Wieting
  2. Chris Callison-Burch
  3. Jörg Tiedemann
  4. Bryan Eikema
  5. Mirella Lapata
  6. Liane Guillou
  7. Mathias Creutz
  8. Kevin Gimpel
  9. Michael J. Denkowski
  10. Brian Thompson

Papers from Colin Bannard's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Statistical Phrase-Based Translation
  6. Long Short-Term Memory
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. A Systematic Comparison of Various Statistical Alignment Models

Their papers