Aun Irtaza

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 193 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aun Irtaza trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Richard S. Sutton
  7. Yann LeCun
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Andrew Zisserman

Papers from Aun Irtaza's perspective

Ordered by how strongly the researchers Aun Irtaza 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers