Sam Leroux

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Sam Leroux trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Kaiming He
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Alex Krizhevsky
  8. George A. Miller
  9. David E. Rumelhart
  10. Ilya Sutskever

Who trusts Sam Leroux overall

  1. Francesco Locatello
  2. Yizeng Han
  3. Simone Scardapane
  4. Tailin Liang
  5. Ji Lin
  6. Tolga Bolukbasi
  7. Tyler L. Hayes
  8. Stefan Bauer
  9. Gao Huang

Papers from Sam Leroux's perspective

Ordered by how strongly the researchers Sam Leroux trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers