Samuel Kadoury

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 5 papers; trusts 25 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Kadoury trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Sepp Hochreiter
  6. Mikael Henaff
  7. Xavier Glorot
  8. Vinod Nair
  9. Alex Krizhevsky
  10. Quoc V. Le

Who trusts Samuel Kadoury overall

  1. Lei Huang
  2. Benjamin Ehret
  3. Fabian Isensee
  4. Mario Lezcano Casado
  5. Piotr A. Sokól

Papers from Samuel Kadoury's perspective

Ordered by how strongly the researchers Samuel Kadoury 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. Long Short-Term Memory
  6. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers