Oleksandr Zinenko

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Oleksandr Zinenko trusts overall

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

  1. Sven Verdoolaege
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Jasper Snoek
  6. Ross B. Girshick
  7. Ilya Sutskever

Who trusts Oleksandr Zinenko overall

  1. Tianqi Chen
  2. Gaurav Menghani
  3. Paul Barham
  4. Sheng-Chun Kao

Papers from Oleksandr Zinenko's perspective

Ordered by how strongly the researchers Oleksandr Zinenko 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Improving neural networks by preventing co-adaptation of feature detectors

Their papers