Matthew Dunn

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Dunn trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Antoine Bordes
  5. Nitish Srivastava
  6. Jimmy Ba
  7. Ilya Sutskever
  8. Yoshua Bengio
  9. Rudolf Kadlec
  10. Oriol Vinyals

Who trusts Matthew Dunn overall

  1. Rodrigo Nogueira
  2. Yi Tay
  3. Robin Jia
  4. Mandar Joshi
  5. Kai Sun
  6. Yankai Lin
  7. Jannis Bulian
  8. Danqi Chen
  9. Michihiro Yasunaga
  10. Luke S. Zettlemoyer

Papers from Matthew Dunn's perspective

Ordered by how strongly the researchers Matthew Dunn 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers