Olivier Breuleux

Computer Vision and Pattern Recognition · 2010–2016

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Olivier Breuleux trusts overall

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

  1. Geoffrey E. Hinton
  2. Max Welling
  3. Tijmen Tieleman
  4. Laurent Younes
  5. Max Welling Donald
  6. Yoshua Bengio
  7. Radford M. Neal
  8. Simon Osindero
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Olivier Breuleux overall

  1. Yoshua Bengio
  2. Aaron C. Courville
  3. Philip Bachman
  4. Pascal Vincent
  5. Sergey Levine
  6. Kyunghyun Cho
  7. Ruslan Salakhutdinov
  8. Quoc V. Le
  9. Trevor Darrell
  10. Dacheng Tao

Papers from Olivier Breuleux's perspective

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

Their papers