Artur Bekasov

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 125 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Artur Bekasov trusts overall

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

  1. Diederik P. Kingma
  2. Alex Krizhevsky
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Yann LeCun
  7. Laurent Dinh
  8. Danilo Jimenez Rezende
  9. Max Welling
  10. Jimmy Ba

Who trusts Artur Bekasov overall

  1. George Papamakarios
  2. Jaehyeon Kim
  3. Michael S. Albergo
  4. Sam Bond-Taylor
  5. Polina Kirichenko
  6. Ivan Kobyzev
  7. Derek Onken
  8. Michael Janner
  9. Conor Durkan
  10. R. Cornish

Papers from Artur Bekasov's perspective

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

Their papers