Olga Kolchyna

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Olga Kolchyna trusts overall

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

  1. Peter D. Turney
  2. Thorsten Joachims
  3. George Forman
  4. S. Kotsiantis
  5. Corinna Cortes
  6. Janyce Wiebe
  7. Manoranjan Dash
  8. Charles X. F. Ling
  9. Alexander Pak
  10. Sitaram Asur

Papers from Olga Kolchyna's perspective

Ordered by how strongly the researchers Olga Kolchyna 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers