Rauf Kurbanov

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rauf Kurbanov trusts overall

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

  1. Alec Radford
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Diederik P. Kingma
  6. Rico Sennrich
  7. Ashish Vaswani
  8. Alex Krizhevsky
  9. Alon Lavie
  10. Yann LeCun

Who trusts Rauf Kurbanov overall

  1. Minlie Huang

Papers from Rauf Kurbanov's perspective

Ordered by how strongly the researchers Rauf Kurbanov 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers