Natalie S. Glance

Artificial Intelligence · 2005–2013

A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 66 researchers here, as inferred from the citation graph.

Subfields

Whom Natalie S. Glance trusts overall

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

  1. Peter D. Turney
  2. Nitin Jindal
  3. B. Liu
  4. Thorsten Joachims
  5. James Newsome
  6. Ravi Kumar
  7. Bo Pang
  8. J. Fleiss
  9. Jon M. Kleinberg
  10. Arjun Mukherjee

Who trusts Natalie S. Glance overall

  1. MohamadAli Torkamani
  2. Daniel Zügner
  3. Emmanuel Abbe
  4. Susan C. Herring
  5. Hyung Nam Kim
  6. Kristina Lerman
  7. Cristian Danescu-Niculescu-Mizil
  8. Jure Leskovec
  9. Lillian Lee
  10. Matthew Gentzkow

Papers from Natalie S. Glance's perspective

Ordered by how strongly the researchers Natalie S. Glance 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Authoritative sources in a hyperlinked environment
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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