Amir Sadeghipour

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Amir Sadeghipour trusts overall

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

  1. Chih-Jen Lin
  2. Stefan Kopp
  3. William R. Swartout
  4. Bruce G. Buchanan
  5. Karen Simonyan
  6. Matthew D. Zeiler
  7. Ipke Wachsmuth
  8. Pranav Rajpurkar
  9. David McNeill
  10. Rishab Gargeya

Who trusts Amir Sadeghipour overall

  1. Masaaki Kurosu
  2. Fei Han
  3. Brian Reily

Papers from Amir Sadeghipour's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers