Rustem Garaev

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rustem Garaev trusts overall

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

  1. Jimmy Ba
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Dzmitry Bahdanau
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Nitish Srivastava
  8. Ilya Sutskever
  9. Aäron van den Oord
  10. Alex Graves

Papers from Rustem Garaev's perspective

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

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

Their papers