Julian Schamper

Natural Language Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julian Schamper trusts overall

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

  1. Rico Sennrich
  2. Diederik P. Kingma

Papers from Julian Schamper's perspective

Ordered by how strongly the researchers Julian Schamper 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Bleu: a Method for Automatic Evaluation of Machine Translation
  5. Neural Machine Translation of Rare Words with Subword Units
  6. Long Short-Term Memory
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet classification with deep convolutional neural networks
  10. Improving Neural Machine Translation Models with Monolingual Data

Their papers