Andrey Ryabtsev

Computer Vision and Pattern Recognition · 2020–2025

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andrey Ryabtsev trusts overall

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

  1. Kaiming He
  2. Sergey Ioffe
  3. Geoffrey E. Hinton
  4. Vinod Nair
  5. Liang-Chieh Chen
  6. Christian Szegedy
  7. Jue Wang
  8. Ross B. Girshick
  9. Alex Krizhevsky
  10. X. Zhang

Papers from Andrey Ryabtsev's perspective

Ordered by how strongly the researchers Andrey Ryabtsev 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers