Alan Nichol

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Alan Nichol trusts overall

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

  1. Antoine Bordes
  2. Jason Aaron Edward Weston
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Jason Williams
  6. Jacob Devlin
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Ashish Vaswani
  10. Alex Krizhevsky

Who trusts Alan Nichol overall

  1. Matthias Falkner
  2. Aris Leivadeas

Papers from Alan Nichol's perspective

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

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

Their papers