Alexandre Campeau-Lecours

Biomedical Engineering · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexandre Campeau-Lecours trusts overall

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

  1. Angkoon Phinyomark
  2. Yarin Gal
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Kevin B. Englehart
  6. Alex Krizhevsky

Who trusts Alexandre Campeau-Lecours overall

  1. Yuval Tassa
  2. Mehdi Mirza
  3. Fanbo Xiang

Papers from Alexandre Campeau-Lecours's perspective

Ordered by how strongly the researchers Alexandre Campeau-Lecours 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Dropout: a simple way to prevent neural networks from overfitting
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers