Mohammad Pezeshki

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 51 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Pezeshki trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Alex Graves
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Ilya Sutskever
  8. Kaiming He
  9. J. Urgen Schmidhuber
  10. Jimmy Ba

Who trusts Mohammad Pezeshki overall

  1. Takaaki Hori
  2. Polina Kirichenko
  3. Oleksiy Ostapenko
  4. Waïss Azizian
  5. Gauthier Gidel
  6. Pavel Izmailov
  7. Ioannis Mitliagkas
  8. Julian Salazar
  9. Simon Lacoste-Julien
  10. Stephen Merity

Papers from Mohammad Pezeshki's perspective

Ordered by how strongly the researchers Mohammad Pezeshki 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers