Olga Kapralova

Artificial Intelligence · 2014

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

Subfields

Whom Olga Kapralova trusts overall

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

  1. Hui Jiang
  2. Jeff Z. Ma
  3. Lori Faith Lamel
  4. Navdeep Jaitly
  5. Dong Yu
  6. Kai Yu
  7. Yan Huang
  8. Joseph Dean
  9. Thorsten Brants
  10. Richard M. Schwartz

Who trusts Olga Kapralova overall

  1. Hagen Soltau
  2. Thomas Drugman
  3. Bo Li
  4. Hank Liao
  5. Janne Pylkkönen
  6. Tara N. Sainath

Papers from Olga Kapralova's perspective

Ordered by how strongly the researchers Olga Kapralova 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Large Scale Distributed Deep Networks
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers