M. Lavreniuk

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom M. Lavreniuk trusts overall

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

  1. Radford M. Neal
  2. Nick Littlestone
  3. Diederik P. Kingma
  4. Zhe Zhu
  5. Subhransu Maji
  6. Feng Gao
  7. Jimmy Ba
  8. Eric F. Vermote
  9. Jun Ding
  10. Geoffrey E. Hinton

Who trusts M. Lavreniuk overall

  1. Abdulhakim M. Abdi
  2. Yuan Yuan
  3. Muhammad Hammad Saleem
  4. Michel Eustáquio Dantas Chaves
  5. Charlotte Pelletier
  6. Xiaohui Yuan
  7. M. Mohammadi

Papers from M. Lavreniuk's perspective

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

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

Their papers