Ahmed Hosny

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 8 papers; trusts 26 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ahmed Hosny trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Chintan Parmar
  5. Ilya Sutskever
  6. Kaiming He
  7. Mina Rezaei
  8. Yoshua Bengio
  9. Patrick Grossmann
  10. Hugo J. W. L. Aerts

Who trusts Ahmed Hosny overall

  1. Kyle Swanson
  2. Artem Shmatko
  3. Q. Liao
  4. Ben Green
  5. Jessica Morley
  6. Jack Bandy
  7. Reabal Najjar
  8. Luís Pinto-Coelho
  9. Jennifer Wortman Vaughan
  10. Eric Wu

Papers from Ahmed Hosny's perspective

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

Their papers