Shahrzad Zargari

Artificial Intelligence · 2018

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

Subfields

Whom Shahrzad Zargari trusts overall

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

  1. Sergey Ioffe
  2. Sepp Hochreiter
  3. Andrej Karpathy
  4. Geoffrey E. Hinton
  5. Nitish Srivastava

Who trusts Shahrzad Zargari overall

  1. Alessandro Bondielli

Papers from Shahrzad Zargari's perspective

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

  1. Long Short-Term Memory
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers