Macduff Hughes

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Macduff Hughes trusts overall

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

  1. Philipp Koehn
  2. Matt Post
  3. Burr Settles
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Diederik P. Kingma
  7. Ashish Vaswani
  8. Ilya Sutskever

Who trusts Macduff Hughes overall

  1. Orhan Firat
  2. Graham Neubig
  3. Ankur Bapna
  4. Felix Stahlberg
  5. Quoc V. Le
  6. Yonatan Belinkov
  7. Holger Schwenk
  8. Mohit Bansal
  9. Naveen Arivazhagan
  10. Rico Sennrich

Papers from Macduff Hughes's perspective

Ordered by how strongly the researchers Macduff Hughes 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. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Layer Normalization
  10. Gradient-based learning applied to document recognition

Their papers