Olivier Galibert

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Galibert trusts overall

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

  1. Radford M. Neal
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoon Kim
  5. Simon J. D. Prince
  6. Matthew G. Snover
  7. L. V. D. van der Maaten
  8. Yonatan Belinkov
  9. Abdel-rahman Mohamed
  10. Jimmy Ba

Who trusts Olivier Galibert overall

  1. John Hewitt

Papers from Olivier Galibert's perspective

Ordered by how strongly the researchers Olivier Galibert 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. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet: A large-scale hierarchical image database

Their papers