Graeme Hirst

Artificial Intelligence · with Budanitsky · 2002–2019

A researcher in the Science corpus: 6 papers; trusts 42 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Graeme Hirst trusts overall

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

  1. Dekang Lin
  2. Philip Resnik
  3. Richard S. Sutton
  4. Dan Jurafsky
  5. Alice H. Oh
  6. Barbara Maria Di Eugenio
  7. Peter D. Turney
  8. Marilyn A. Walker
  9. Andrew Barto
  10. Michael Collins

Who trusts Graeme Hirst overall

  1. Wen-tau Yih
  2. James Richard Curran
  3. Peter D. Turney
  4. K. Erk
  5. Siddharth Patwardhan
  6. Evgeniy Gabrilovich
  7. Rada Mihalcea
  8. Ted Pedersen
  9. Mario Jarmasz
  10. Michael Strube

Papers from Graeme Hirst's perspective

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

Their papers