Sergei Popov

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Sergei Popov trusts overall

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

  1. Ronald J. Williams
  2. Geoffrey E. Hinton
  3. André F. T. Martins
  4. Zhi-Hua Zhou
  5. Dmytro Mishkin
  6. Jerry Ma
  7. Alex Krizhevsky
  8. Gao Huang
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Sergei Popov overall

  1. Ravid Shwartz-Ziv
  2. Léo Grinsztajn
  3. Valentina Zantedeschi
  4. Stefan Hegselmann
  5. Duncan C. McElfresh
  6. Amitai Armon
  7. Edouard Oyallon
  8. Matt J. Kusner
  9. Gaël Varoquaux

Papers from Sergei Popov's perspective

Ordered by how strongly the researchers Sergei Popov 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. Attention is All you Need (Neural Information Processing Systems)
  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. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers