Aleksandr Setkov

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Aleksandr Setkov trusts overall

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

  1. Kaiming He
  2. Sergey Zagoruyko
  3. Niv Cohen
  4. Paul Bergmann
  5. Kimin Lee
  6. X. Zhang

Who trusts Aleksandr Setkov overall

  1. Hanqiu Deng
  2. Yang Zou
  3. Jongheon Jeong
  4. Kilian Batzner
  5. Sungwook Lee
  6. Vitjan Zavrtanik
  7. Denis A. Gudovskiy
  8. Zhikang Liu
  9. Guodong Wang

Papers from Aleksandr Setkov's perspective

Ordered by how strongly the researchers Aleksandr Setkov 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. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers