Samuel Larkin

Natural Language Processing · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Larkin trusts overall

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

  1. Kenneth Heafield
  2. Philipp Koehn
  3. Andreas Stolcke
  4. Diederik P. Kingma
  5. Taku Kudo
  6. Chi-kiu (羅致翹) Lo
  7. Barret Zoph
  8. Ashish Vaswani
  9. Colin Cherry
  10. Liang Huang

Who trusts Samuel Larkin overall

  1. Philipp Koehn

Papers from Samuel Larkin's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers