Austin Matthews

Artificial Intelligence · 2009–2017

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Austin Matthews trusts overall

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

  1. Alex Graves
  2. Chris Dyer
  3. Yoshua Bengio
  4. Andreas Stolcke
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. David Chiang
  8. Kenneth Heafield
  9. Franz Joseph Och
  10. Diederik P. Kingma

Who trusts Austin Matthews overall

  1. Yoav Goldberg
  2. Miguel Ballesteros
  3. David Weiss
  4. Graham Neubig
  5. Chris Dyer
  6. Diego Marcheggiani
  7. Milan Straka
  8. Eliyahu Kiperwasser
  9. Barbara Plank
  10. James Henderson

Papers from Austin Matthews's perspective

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

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

Their papers