Antoine Prouvost

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Antoine Prouvost trusts overall

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

  1. Yoshua Bengio
  2. Radford M. Neal
  3. J. Urgen Schmidhuber
  4. Geoffrey E. Hinton
  5. Oriol Vinyals
  6. Jonathan Baxter
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Richard S. Sutton
  10. Alex Krizhevsky

Who trusts Antoine Prouvost overall

  1. François Soumis
  2. Simon Lacoste-Julien
  3. Dimitris J. Bertsimas
  4. Chaitanya K. Joshi

Papers from Antoine Prouvost's perspective

Ordered by how strongly the researchers Antoine Prouvost 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers