Michal Novák

Natural Language Processing · 2014–2016

A researcher in the Science corpus: 6 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Novák trusts overall

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

  1. Vincent Ng
  2. Martin Popel
  3. Franz Joseph Och
  4. Qin Gao
  5. Zdenek Zabokrtský
  6. Philipp Koehn
  7. Stephan Vogel
  8. Andreas Stolcke
  9. Ondrej Bojar
  10. Dipanjan Das

Who trusts Michal Novák overall

  1. Karin Sim Smith
  2. Ondrej Dusek
  3. Yang Trista Cao

Papers from Michal Novák's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Efficient Estimation of Word Representations in Vector Space
  6. Long Short-Term Memory
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. A Systematic Comparison of Various Statistical Alignment Models

Their papers