Hanna Kamyshanska

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hanna Kamyshanska trusts overall

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

  1. Pascal Vincent
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Hugo Larochelle
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Jason Tyler Rolfe
  8. Marc'Aurelio Ranzato
  9. Ilya Sutskever
  10. Salah Rifai

Who trusts Hanna Kamyshanska overall

  1. Martin Längkvist
  2. David Charte
  3. Lars Karlsson
  4. Francisco Charte
  5. Amy Loutfi

Papers from Hanna Kamyshanska's perspective

Ordered by how strongly the researchers Hanna Kamyshanska 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers