David Newman

Artificial Intelligence · 2008–2014

A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom David Newman trusts overall

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

  1. David M. Blei
  2. T. Griffiths
  3. Dekang Lin
  4. Hinrich Schütze
  5. Michael I. Jordan
  6. Andrew Y. Ng
  7. Thomas Hofmann
  8. Chin-Yew Lin
  9. Dekang Lin
  10. Aria Haghighi

Who trusts David Newman overall

  1. Jey Han Lau
  2. Uttam Chauhan
  3. Akash Srivastava
  4. Bettina Grün
  5. Dana Movshovitz-Attias
  6. Michael Röder
  7. Derek O'Callaghan
  8. Alex Smola
  9. Zhiyuan Chen
  10. Timothy Baldwin

Papers from David Newman's perspective

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

Their papers