George Mulcaire

Artificial Intelligence · 2016

A researcher in the Science corpus: 3 papers; trusts 18 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom George Mulcaire trusts overall

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

  1. Chris Dyer
  2. Tomas Mikolov
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Alex Graves
  6. Slav Petrov
  7. Ilya Sutskever
  8. Alexander M. Rush
  9. Christopher D. Manning
  10. Diederik P. Kingma

Who trusts George Mulcaire overall

  1. Sebastian Ruder
  2. Graham Neubig
  3. Antonios Anastasopoulos
  4. Meng Fang
  5. Ivan Vulic
  6. Holger Schwenk
  7. Trevor Cohn
  8. Zi-Yi Dou
  9. Nikolaos Pappas
  10. Ndapandula Nakashole

Papers from George Mulcaire's perspective

Ordered by how strongly the researchers George Mulcaire 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  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