Ekaterina Olshannikova

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ekaterina Olshannikova trusts overall

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

  1. J. Urgen Schmidhuber
  2. Nitesh V. Chawla
  3. Mohammed J. Zaki
  4. Chaomei Chen
  5. J. Manyika
  6. Ilya Sutskever
  7. Melanie Tory
  8. Radford M. Neal
  9. Martin Vetterli
  10. Geoffrey E. Hinton

Papers from Ekaterina Olshannikova's perspective

Ordered by how strongly the researchers Ekaterina Olshannikova 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers