Ruslan Dautov

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruslan Dautov trusts overall

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

  1. Joseph E. Gonzalez
  2. Matei A. Zaharia
  3. Yehuda Koren
  4. Yucheng Low
  5. Reynold Xin
  6. Galen Andrew
  7. Kaiming He
  8. Karen Simonyan
  9. Deepayan Chakrabarti
  10. Geoffrey E. Hinton

Papers from Ruslan Dautov's perspective

Ordered by how strongly the researchers Ruslan Dautov 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers