Xavier Bouthillier

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 6 papers; trusts 53 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Bouthillier trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Sergey Ioffe
  4. Kaiming He
  5. Diederik P. Kingma
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Xavier Bouthillier overall

  1. Joelle Pineau
  2. Shan Li
  3. Emmanuel Dupoux
  4. Alexandre de Brébisson
  5. Samira Ebrahimi Kahou
  6. Janghyeon Lee
  7. Weihong Deng

Papers from Xavier Bouthillier's perspective

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

Their papers