Alexander Allauzen

Natural Language Processing · 2010–2019

A researcher in the Science corpus: 13 papers; trusts 94 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Allauzen trusts overall

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

  1. Franz Joseph Och
  2. Holger Schwenk
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Andriy Mnih
  6. Andreas Stolcke
  7. Ulrich Germann
  8. Philipp Koehn
  9. Christoph Tillmann
  10. Kenneth Heafield

Who trusts Alexander Allauzen overall

  1. Holger Schwenk
  2. Li Deng
  3. Quoc-Khanh Do
  4. Martin Sundermeyer
  5. Jianfeng Gao
  6. Geoffry Zweig
  7. Jan-Thorsten Peter
  8. Kaisheng Yao
  9. Tomas Mikolov
  10. Matthias Huck

Papers from Alexander Allauzen's perspective

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

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

Their papers