Mohammad Saeid Mahdavinejad

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammad Saeid Mahdavinejad trusts overall

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

  1. Radford M. Neal
  2. Leo Breiman
  3. Christopher K. I. Williams
  4. J. Urgen Schmidhuber
  5. Kunihiko Fukushima
  6. Ronald J. Williams
  7. Yann LeCun
  8. Andrew McCallum
  9. David Barber
  10. Geoffrey E. Hinton

Who trusts Mohammad Saeid Mahdavinejad overall

  1. Jing Zhang
  2. Cong Xie
  3. Dacheng Tao

Papers from Mohammad Saeid Mahdavinejad's perspective

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

Their papers