Egor Burkov

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 267 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Egor Burkov trusts overall

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

  1. Andrew Zisserman
  2. Karen Simonyan
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Kaiming He
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts Egor Burkov overall

  1. Jian Zhao
  2. Hongsuk Choi

Papers from Egor Burkov's perspective

Ordered by how strongly the researchers Egor Burkov 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. ImageNet: A large-scale hierarchical image database
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers