Alexei Vinokourov

Artificial Intelligence · 2002

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Alexei Vinokourov trusts overall

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

  1. Thorsten Joachims
  2. Susan T. Dumais
  3. Michael I. Jordan
  4. Vladimir Naumovich Vapni
  5. Tommi S. Jaakkola
  6. Thomas Hofmann
  7. Hao Chen
  8. Marina Meila
  9. Andrew McCallum
  10. Geoffrey J. McLachlan

Who trusts Alexei Vinokourov overall

  1. Anastasia Podosinnikova
  2. Arto Klami
  3. Jianfeng Gao
  4. Aditya Mogadala
  5. Francis R. Bach
  6. Wen-tau Yih
  7. John C. Platt
  8. Gabriella Csurka
  9. Stéphane Clinchant
  10. Seppo Virtanen

Papers from Alexei Vinokourov's perspective

Ordered by how strongly the researchers Alexei Vinokourov 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers