Yassine Marrakchi

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 210 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yassine Marrakchi trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Kaiming He
  6. Karen Simonyan
  7. Barret Zoph
  8. Yann LeCun
  9. Quoc V. Le
  10. Ilya Sutskever

Who trusts Yassine Marrakchi overall

  1. Arber Zela
  2. Tonmoy Saikia
  3. Pengzhen Ren
  4. Xiangxiang Chu

Papers from Yassine Marrakchi's perspective

Ordered by how strongly the researchers Yassine Marrakchi 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  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