Oleg Rybakov

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oleg Rybakov trusts overall

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

  1. Yoshua Bengio
  2. Yann LeCun
  3. Sepp Hochreiter
  4. J. Urgen Schmidhuber
  5. Geoffrey E. Hinton
  6. Dzmitry Bahdanau
  7. Kyunghyun Cho
  8. Alex Krizhevsky
  9. Pete Warden
  10. Kaiming He

Who trusts Oleg Rybakov overall

  1. Yuan Gong
  2. Yunpeng Li
  3. Yu-An Chung
  4. Marco Tagliasacchi

Papers from Oleg Rybakov's perspective

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

Their papers