Farhad Shiri

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Farhad Shiri trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Graves
  3. Yoshua Bengio
  4. Kaiming He
  5. Sepp Hochreiter
  6. Diederik P. Kingma
  7. Alex Krizhevsky
  8. Matthew D. Zeiler
  9. J. Urgen Schmidhuber
  10. Martin L. Puterman

Papers from Farhad Shiri's perspective

Ordered by how strongly the researchers Farhad Shiri 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers