Jeffrey S. Foster

Artificial Intelligence · 2000–2021

A researcher in the Science corpus: 13 papers; trusts 39 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Jeffrey S. Foster trusts overall

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

  1. Jeremy G. Siek
  2. Miltiadis Allamanis
  3. Diederik P. Kingma
  4. Michael Furr
  5. Gregory R. Koch
  6. Veselin Raychev
  7. Greg Nelson
  8. Sam Tobin-Hochstadt
  9. Michael Pradel
  10. Alexander Schrijver

Who trusts Jeffrey S. Foster overall

  1. Gary Wassermann
  2. Ranjit Jhala
  3. Karim Eldefrawy
  4. Yichen Xie
  5. David Hovemeyer
  6. Zhendong Su
  7. Ravi Chugh
  8. Armando Solar-Lezama
  9. Manuvir Das
  10. Sandeep Bhatkar

Papers from Jeffrey S. Foster's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet: A large-scale hierarchical image database

Their papers