William R. Hersh

Artificial Intelligence · 1994–2020

A researcher in the Science corpus: 15 papers; trusts 81 researchers and is trusted by 55 researchers here, as inferred from the citation graph.

Subfields

Whom William R. Hersh trusts overall

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

  1. Gerard A. Salton
  2. Tefko Saracevic
  3. Elad Yom-Tov
  4. Ellen M. Voorhees
  5. David A. Ferrucci
  6. Ryen W. White
  7. Jamie Callan
  8. Chris Buckley
  9. Marti A. Hearst
  10. Thorsten Joachims

Who trusts William R. Hersh overall

  1. Jimmy J. Lin
  2. Tie-Yan Liu
  3. Martin Krallinger
  4. Tao Qin
  5. Jun Xu
  6. Mark Sanderson
  7. Pierre Zweigenbaum
  8. Donna K. Harman
  9. Hang Li
  10. Dr. Hiteshwar Kumar Azad

Papers from William R. Hersh's perspective

Ordered by how strongly the researchers William R. Hersh 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers