Egor Shulgin

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Egor Shulgin trusts overall

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

  1. Yurii E. Nesterov
  2. Alex Krizhevsky
  3. Peter Richtárik
  4. Diederik P. Kingma
  5. Geoffrey E. Hinton
  6. Kaiming He
  7. Ian J. Goodfellow
  8. Yoshua Bengio
  9. Arkadi Nemirovski
  10. J. Urgen Schmidhuber

Who trusts Egor Shulgin overall

  1. Ahmed Khaled
  2. Nicolas Loizou
  3. Peter Richtárik
  4. Konstantin Mishchenko
  5. Xinmeng Huang
  6. Filip Hanzely

Papers from Egor Shulgin's perspective

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

Their papers