Jean Kaddour

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 5 papers; trusts 297 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jean Kaddour trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yoshua Bengio
  6. Yann LeCun
  7. Jimmy Ba
  8. Ilya Sutskever
  9. Sepp Hochreiter
  10. Matthew D. Zeiler

Papers from Jean Kaddour's perspective

Ordered by how strongly the researchers Jean Kaddour 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers