Markus Dreyer

Natural Language Processing · 2009–2017

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Dreyer trusts overall

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

  1. Radford M. Neal
  2. Jason Eisner
  3. Cyril Allauzen
  4. Mehryar Mohri
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Dzmitry Bahdanau
  9. Kyunghyun Cho
  10. Michael D. Riley

Who trusts Markus Dreyer overall

  1. Nanyun Peng
  2. Jason Eisner
  3. Ryan Cotterell
  4. Veselin Stoyanov
  5. Jianpeng Cheng
  6. Jacob Andreas

Papers from Markus Dreyer's perspective

Ordered by how strongly the researchers Markus Dreyer 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. ImageNet: A large-scale hierarchical image database

Their papers