Shehzad Khalid

Artificial Intelligence · 2013–2018

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

Subfields

Whom Shehzad Khalid trusts overall

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

  1. David Martinus Johannes Tax
  2. Matthew D. Zeiler
  3. Alex Krizhevsky
  4. Thomas Walter
  5. Geoffrey E. Hinton
  6. Gwenolé Quellec
  7. Kaiming He
  8. Yoshua Bengio

Who trusts Shehzad Khalid overall

  1. Vijay M. Mane

Papers from Shehzad Khalid's perspective

Ordered by how strongly the researchers Shehzad Khalid trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  10. ImageNet: A large-scale hierarchical image database

Their papers