Nariman Farsad

Molecular Biology · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 34 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Nariman Farsad trusts overall

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

  1. Alex Graves
  2. Ronald J. Williams
  3. Diederik P. Kingma
  4. J. Urgen Schmidhuber
  5. Geoffrey E. Hinton
  6. Sepp Hochreiter
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Philipp Koehn
  10. Alex Krizhevsky

Who trusts Nariman Farsad overall

  1. Zhijin Qin
  2. Hao Ye
  3. Huiqiang Xie
  4. Geoffrey Y. Li
  5. Ian F. Akyildiz
  6. Neev Samuel
  7. Nir Shlezinger
  8. Jiawei Shao
  9. David Burth Kurka
  10. Gunes Karabulut Kurt

Papers from Nariman Farsad's perspective

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

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