David A. Smith

Artificial Intelligence · with Eisner · 2004–2015

A researcher in the Science corpus: 5 papers; trusts 39 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom David A. Smith trusts overall

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

  1. Jason Eisner
  2. Daniel Klein
  3. Ryan T. McDonald
  4. L. Eon Bottou
  5. Franz Joseph Och
  6. Christopher D. Manning
  7. Fernando C Pereira
  8. Peter F. Brown
  9. Jonathan S. Yedidia
  10. Alfredo Braunstein

Who trusts David A. Smith overall

  1. Noah A. Smith
  2. Kevin Gimpel
  3. Yue Zhang
  4. Alexander M. Rush
  5. Dipanjan Das
  6. Greg Durrett
  7. Yoon Kim
  8. Hao Peng
  9. Matthew R. Gormley
  10. Kristian Woodsend

Papers from David A. Smith's perspective

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

Their papers