Sana Tonekaboni

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sana Tonekaboni trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Aapo Hyvärinen
  4. Alex Krizhevsky
  5. Diederik P. Kingma
  6. Marco Tulio Ribeiro
  7. Ilya Sutskever
  8. Yann LeCun
  9. Kaiming He
  10. Alex Graves

Who trusts Sana Tonekaboni overall

  1. Yuqi Nie
  2. Aniek F. Markus
  3. Vijayabharathi Ekambaram
  4. Nam H. Nguyen
  5. Zhihan Yue
  6. Phanwadee Sinthong
  7. Jan A. Kors
  8. Arindam Jati
  9. Jayant R. Kalagnanam

Papers from Sana Tonekaboni's perspective

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

Their papers