Thomas Lavergne

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 10 papers; trusts 61 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Lavergne trusts overall

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

  1. Andreas Stolcke
  2. Robert Tibshirani
  3. L. Eon Bottou
  4. Christopher D. Manning
  5. Andrew McCallum
  6. Kevin P. Murphy
  7. Yoshua Bengio
  8. Charles Sutton
  9. Geoffrey E. Hinton
  10. Diederik P. Kingma

Who trusts Thomas Lavergne overall

  1. Ngoc-Quang Luong
  2. Grzegorz Chrupała
  3. Marion Weller
  4. Charles Sutton
  5. Thomas Müller
  6. Fabienne Cap
  7. André F. T. Martins
  8. Laurent Besacier
  9. Benjamin Lecouteux
  10. Kalpesh Krishna

Papers from Thomas Lavergne's perspective

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

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

Their papers