Lucas Bourtoule

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lucas Bourtoule trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Shai Shalev-Shwartz
  4. Thomas G. Dietterich
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Oriol Vinyals
  9. Jia Deng
  10. Cynthia Dwork

Who trusts Lucas Bourtoule overall

  1. Aditya Golatkar
  2. Yuanshun Yao
  3. Thomas Baumhauer
  4. Laura Graves
  5. Ayush Kumar Tarun
  6. Alessandro Achille
  7. Anvith Thudi
  8. Alexander Warnecke
  9. Ayush Sekhari
  10. David Marco Sommer

Papers from Lucas Bourtoule's perspective

Ordered by how strongly the researchers Lucas Bourtoule 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. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  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