Amirata Ghorbani

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 7 papers; trusts 343 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

Whom Amirata Ghorbani trusts overall

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

  1. Christian Szegedy
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Ilya Sutskever
  10. Sergey Ioffe

Who trusts Amirata Ghorbani overall

  1. Weixin Liang
  2. James Y. Zou
  3. Pang Wei Koh
  4. Laura Rieger
  5. Chih-Kuan Yeh
  6. Andrew Ilyas
  7. Luke Merrick
  8. Sung Min Park
  9. Erico Tjoa
  10. Arun Das

Papers from Amirata Ghorbani's perspective

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

Their papers