Sheraz Naseer

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sheraz Naseer trusts overall

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

  1. Matthew D. Zeiler
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Yann LeCun
  8. Xiaojin Zhu
  9. Yihua Liao
  10. Pascal Vincent

Who trusts Sheraz Naseer overall

  1. Raghavendra Chalapathy
  2. Ke He
  3. Benjamin Lindemann
  4. Zeeshan Ahmad
  5. R. Vinayakumar
  6. Sanjay Chawla
  7. Dan Dongseong Kim

Papers from Sheraz Naseer's perspective

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

Their papers