Guillaume Wenzek

Natural Language Processing · 2019–2023

A researcher in the Science corpus: 10 papers; trusts 110 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

Whom Guillaume Wenzek trusts overall

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

  1. Holger Schwenk
  2. Tomas Mikolov
  3. Taku Kudo
  4. Ilya Sutskever
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Armand Joulin
  8. Diederik P. Kingma
  9. Philipp Koehn
  10. Edouard Grave

Who trusts Guillaume Wenzek overall

  1. Naman Goyal
  2. Gautier Izacard
  3. Alexis Conneau
  4. Angela Fan
  5. Timo Schick
  6. Zewen Chi
  7. Holger Schwenk
  8. Jingfei Du
  9. Jonas Pfeiffer
  10. Li Dong

Papers from Guillaume Wenzek's perspective

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

Their papers