Kamran Shaukat

Artificial Intelligence · 2006–2022

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kamran Shaukat trusts overall

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

  1. Kaiming He
  2. Matthew D. Zeiler
  3. Caroline Tagg
  4. Geoffrey E. Hinton
  5. Christian Szegedy
  6. Yoshua Bengio
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Rob Fergus
  10. J. Kolter

Papers from Kamran Shaukat's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  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. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers