Artur Kadurin

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Artur Kadurin trusts overall

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

  1. Geoffrey E. Hinton
  2. Radford M. Neal
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Individualized Treat
  6. Ilya Sutskever
  7. Ian J. Goodfellow
  8. Ruslan Salakhutdinov
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Artur Kadurin overall

  1. Tânia F Cova
  2. Hongming Chen
  3. Thomas Blaschke
  4. Jaechang Lim
  5. Mariya Popova
  6. Sergey I. Nikolenko
  7. Ola Engkvist
  8. Polina Mamoshina
  9. A. Pais
  10. Marcus Olivecrona

Papers from Artur Kadurin's perspective

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

Their papers