Guillaume Klein

Natural Language Processing · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 85 researchers here, as inferred from the citation graph.

Subfields

Whom Guillaume Klein trusts overall

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

  1. Oriol Vinyals
  2. Rico Sennrich
  3. Ilya Sutskever
  4. Kyunghyun Cho
  5. Yoshua Bengio
  6. Dzmitry Bahdanau
  7. Geoffrey E. Hinton
  8. Quoc V. Le
  9. Sumit Chopra
  10. Barry Haddow

Who trusts Guillaume Klein overall

  1. Yang Liu
  2. Ratish Puduppully
  3. Uri Alon
  4. Surafel Melaku Lakew
  5. Tao Lei
  6. Sebastian Gehrmann
  7. Mirella Lapata
  8. Yoon Kim
  9. Li Dong
  10. Mingbo Ma

Papers from Guillaume Klein's perspective

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

Their papers