David Vilar

Artificial Intelligence · 2006–2022

A researcher in the Science corpus: 6 papers; trusts 128 researchers and is trusted by 68 researchers here, as inferred from the citation graph.

Subfields

Whom David Vilar trusts overall

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

  1. Diederik P. Kingma
  2. Rico Sennrich
  3. Markus Freitag
  4. Philipp Koehn
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Jimmy Ba
  8. Matt Post
  9. Ilya Sutskever
  10. Barry Haddow

Who trusts David Vilar overall

  1. Jörg Tiedemann
  2. Brian Thompson
  3. Ankur Bapna
  4. Weijia Xu
  5. Christian Federmann
  6. Graham Neubig
  7. Rico Sennrich
  8. Felix Stahlberg
  9. Philipp Koehn
  10. Anoop Kunchukuttan

Papers from David Vilar's perspective

Ordered by how strongly the researchers David Vilar 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. Attention is All you Need (Neural Information Processing Systems)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers