Matthew Leighton Williams

Artificial Intelligence · 2005–2018

A researcher in the Science corpus: 6 papers; trusts 36 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Leighton Williams trusts overall

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

  1. P. Burnap
  2. Mike Thelwall
  3. Jiang Yang
  4. Marie-Catherine de Marneffe
  5. Kevan Buckley
  6. Scott Counts
  7. Karthik Dinakar
  8. Trevor J. Hastie
  9. Alan F. Smeaton
  10. Georgios Paltoglou

Who trusts Matthew Leighton Williams overall

  1. Anna Schmidt
  2. Ziqi Zhang
  3. Shervin Malmasi
  4. Bertie Vidgen
  5. Marcos Zampieri
  6. Michael Wiegand
  7. Paula Fortuna
  8. David Robinson
  9. Rijul Magu
  10. Thomas Davidson

Papers from Matthew Leighton Williams's perspective

Ordered by how strongly the researchers Matthew Leighton Williams trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers