Alireza Bagheri Garakani

Artificial Intelligence · 2014

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alireza Bagheri Garakani trusts overall

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

  1. Martin Jaggi
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Robert Tibshirani
  5. Kenneth L. Clarkson
  6. Yoshua Bengio
  7. Francis R. Bach
  8. Joel A. Tropp
  9. Yann LeCun
  10. Corinna Cortes

Papers from Alireza Bagheri Garakani's perspective

Ordered by how strongly the researchers Alireza Bagheri Garakani 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. Learning Multiple Layers of Features from Tiny Images
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers