David M. Howcroft

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 55 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom David M. Howcroft trusts overall

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

  1. Ehud Reiter
  2. Jekaterina Novikova
  3. Anya Belz
  4. Ondrej Dusek
  5. Chin-Yew Lin
  6. Tsung-Hsien Wen
  7. Marilyn A. Walker
  8. Chris van der Lee
  9. Alexandra Kuznetsova
  10. Yoshua Bengio

Who trusts David M. Howcroft overall

  1. Sebastian Gehrmann
  2. Ondrej Dusek
  3. Elizabeth Clark
  4. Jordan Clive
  5. Verena Rieser
  6. Craig Thomson
  7. Emily Dinan
  8. Anya Belz
  9. Eleftheria Briakou
  10. Xinnuo Xu

Papers from David M. Howcroft's perspective

Ordered by how strongly the researchers David M. Howcroft trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers