Pierre Isabelle

Natural Language Processing · 2002–2018

A researcher in the Science corpus: 5 papers; trusts 27 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre Isabelle trusts overall

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

  1. Rico Sennrich
  2. Matthew D. Zeiler
  3. Marcin Junczys-Dowmunt
  4. Dzmitry Bahdanau
  5. Kyunghyun Cho
  6. Philipp Koehn
  7. Yoshua Bengio
  8. Franz Joseph Och
  9. Michel Galley
  10. Colin Cherry

Who trusts Pierre Isabelle overall

  1. Yonatan Belinkov
  2. Shaodian Zhang
  3. Hanxiong Chen
  4. James Thorne
  5. Franck Burlot
  6. Santanu Pal
  7. Rajen Chatterjee
  8. Noémie Elhadad
  9. Vicente Iván Sánchez Carmona
  10. Eleftherios Avramidis

Papers from Pierre Isabelle's perspective

Ordered by how strongly the researchers Pierre Isabelle 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers