Hasam Khalid

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hasam Khalid trusts overall

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

  1. François Chollet
  2. Geoffrey E. Hinton
  3. David E. Rumelhart
  4. Yuezun Li
  5. Andrew Zisserman
  6. Karen Simonyan
  7. Joon Son Chung
  8. Yoshua Bengio
  9. Ian J. Goodfellow
  10. Alex Krizhevsky

Papers from Hasam Khalid's perspective

Ordered by how strongly the researchers Hasam Khalid 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers