Nikolay Banar

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nikolay Banar trusts overall

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

  1. Alex Krizhevsky
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Ilya Sutskever
  5. Vincent Dumoulin
  6. Christian Szegedy
  7. Thomas Mensink
  8. Luis Perez
  9. Babak Saleh
  10. Jimmy Ba

Papers from Nikolay Banar's perspective

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

Their papers