Philippe Langlais

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Philippe Langlais trusts overall

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

  1. Alex Graves
  2. Yoshua Bengio
  3. Kyunghyun Cho
  4. Stephan Gouws
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. Diederik P. Kingma
  8. Ronan Collobert
  9. Yann LeCun
  10. Alex Krizhevsky

Who trusts Philippe Langlais overall

  1. Holger Schwenk

Papers from Philippe Langlais's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. Learning Multiple Layers of Features from Tiny Images

Their papers