Ouais Alsharif

Computer Vision and Pattern Recognition · 2013–2019

A researcher in the Science corpus: 6 papers; trusts 295 researchers and is trusted by 436 researchers here, as inferred from the citation graph.

Subfields

Whom Ouais Alsharif trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. Alex Graves
  5. Lawrence R. Rabiner
  6. Ian J. Goodfellow
  7. Yann LeCun
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Sepp Hochreiter

Who trusts Ouais Alsharif overall

  1. Max Jaderberg
  2. Andrea Vedaldi
  3. Andrew Zisserman
  4. Karen Simonyan
  5. Takeru Miyato
  6. Ian J. Goodfellow
  7. David P. Helmbold
  8. Kihyuk Sohn
  9. Lu Liu
  10. Yoshua Bengio

Papers from Ouais Alsharif's perspective

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

Their papers