Stephen G. Pulman

Artificial Intelligence · 1996–2020

A researcher in the Science corpus: 7 papers; trusts 51 researchers and is trusted by 79 researchers here, as inferred from the citation graph.

Subfields

Whom Stephen G. Pulman trusts overall

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

  1. James Richard Curran
  2. David Haussler
  3. Hinrich Schütze
  4. Michael Collins
  5. David R. Dowty
  6. Soo-Min Kim
  7. Yoshua Bengio
  8. Dan Jurafsky
  9. Geoffrey E. Hinton
  10. Ana-Maria Popescu

Who trusts Stephen G. Pulman overall

  1. Bill MacCartney
  2. Christopher D. Manning
  3. Samuel R. Bowman
  4. Hai Hu
  5. Adina Williams
  6. William Ferreira
  7. Kyle Richardson
  8. Kai Zhao
  9. Sheng Zhang
  10. Ellie Pavlick

Papers from Stephen G. Pulman's perspective

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

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

Their papers