Zahra Karevan

Model Architectures · 2020

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

Subfields

Whom Zahra Karevan trusts overall

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

  1. Alex Graves
  2. J. Urgen Schmidhuber
  3. Yoshua Bengio
  4. Vladimir Naumovich Vapnik
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. Felix Alexander Gers
  8. Sepp Hochreiter
  9. Jeffrey L. Elman
  10. L. Eon Bottou

Papers from Zahra Karevan's perspective

Ordered by how strongly the researchers Zahra Karevan 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Going deeper with convolutions
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers