Vladislav Voroninski

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 5 papers; trusts 176 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom Vladislav Voroninski trusts overall

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

  1. E.J. Candes
  2. David G. Lowe
  3. Changchang Wu
  4. Noah Snavely
  5. Yasutaka Furukawa
  6. Geoffrey E. Hinton
  7. B. Recht
  8. David L. Donoho
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Vladislav Voroninski overall

  1. E.J. Candes
  2. Paul Hand
  3. Tom Goldstein
  4. Reinhard Heckel
  5. Qi Lei
  6. Ajil Jalal
  7. Fangchang Ma
  8. Xiaodong Li
  9. Irène Waldspurger
  10. Christoph Studer

Papers from Vladislav Voroninski's perspective

Ordered by how strongly the researchers Vladislav Voroninski 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. GENERATIVE ADVERSARIAL NETS
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers