Natasha Kononenko

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Natasha Kononenko trusts overall

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

  1. Yoshua Bengio
  2. J. Urgen Schmidhuber
  3. Sepp Hochreiter
  4. Yann LeCun
  5. Pete Warden
  6. Dzmitry Bahdanau
  7. Kyunghyun Cho
  8. Geoffrey E. Hinton
  9. Tara N. Sainath
  10. Felix Alexander Gers

Who trusts Natasha Kononenko overall

  1. Yuan Gong

Papers from Natasha Kononenko's perspective

Ordered by how strongly the researchers Natasha Kononenko trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers