Alexander N. Gorban

Computer Vision and Pattern Recognition · with Balan · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 65 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Alexander N. Gorban trusts overall

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

  1. Karen Simonyan
  2. Christian Szegedy
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Rob Fergus
  6. Matthew D. Zeiler
  7. Alex Krizhevsky

Who trusts Alexander N. Gorban overall

  1. Junting Pan

Papers from Alexander N. Gorban's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Going deeper with convolutions
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers