Azarakhsh Jalalvand

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Azarakhsh Jalalvand trusts overall

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

  1. Geoffrey E. Hinton
  2. Paul J. Werbos
  3. Ronald J. Williams
  4. Lawrence R. Rabiner
  5. David E. Rumelhart
  6. Yoshua Bengio
  7. Li Deng
  8. Dong Yu
  9. Kai-Fu Lee
  10. Alex Graves

Who trusts Azarakhsh Jalalvand overall

  1. Li Deng
  2. Kris Demuynck

Papers from Azarakhsh Jalalvand's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers