Ivan Sosnovik

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Ivan Sosnovik trusts overall

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

  1. Diederik P. Kingma
  2. Yann LeCun
  3. Daniel E. Worrall
  4. Max Welling
  5. Taco Cohen
  6. Geoffrey E. Hinton
  7. Olaf Ronneberger
  8. Jimmy Ba
  9. Adam Coates
  10. Yoshua Bengio

Who trusts Ivan Sosnovik overall

  1. David W. Romero
  2. Osman Semih Kayhan
  3. Lyle Regenwetter
  4. Fabian B. Fuchs
  5. Jan van Gemert
  6. Amin Heyrani Nobari
  7. Erik J. Bekkers
  8. Daniel E. Worrall
  9. Faez Ahmed

Papers from Ivan Sosnovik's perspective

Ordered by how strongly the researchers Ivan Sosnovik 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. 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