Veronika Cheplygina

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 4 papers; trusts 213 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Veronika Cheplygina trusts overall

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

  1. Zhi-Hua Zhou
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Sebastian Ruder
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Kaiming He
  8. Diederik P. Kingma
  9. Ross B. Girshick
  10. Jerome H. Friedman

Who trusts Veronika Cheplygina overall

  1. Mingxia Liu
  2. Wouter M. Kouw
  3. Xiaotao Wei
  4. S. Kevin Zhou
  5. Joel Shor
  6. Marco Loog
  7. Xiang Wei
  8. Harrison Edwards

Papers from Veronika Cheplygina's perspective

Ordered by how strongly the researchers Veronika Cheplygina trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers