Matthew Francis-Landau

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Francis-Landau trusts overall

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

  1. Matthew D. Zeiler
  2. Omer Levy
  3. Greg Durrett
  4. Lev-Arie Ratinov
  5. Mohit Iyyer
  6. Geoffrey E. Hinton
  7. Daniel Klein
  8. Yoshua Bengio
  9. Tomas Mikolov
  10. Ilya Sutskever

Who trusts Matthew Francis-Landau overall

  1. Yasumasa Onoe
  2. Nazneen Rajani
  3. Octavian-Eugen Ganea
  4. Nitish Gupta
  5. Avirup Sil
  6. Feng Nie
  7. Yotam Eshel
  8. Greg Durrett
  9. Raymond J. Mooney
  10. Thomas Hofmann

Papers from Matthew Francis-Landau's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers