Irina Galinskaya

Natural Language Processing · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Irina Galinskaya trusts overall

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

  1. Franz Joseph Och
  2. Philipp Koehn
  3. Shankar Kumar
  4. Chris Dyer
  5. Kenneth Heafield
  6. Michael C. McCord
  7. Michael Collins
  8. Dzmitry Bahdanau
  9. Yoshua Bengio
  10. Yue Zhang

Papers from Irina Galinskaya's perspective

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

  1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  2. Long Short-Term Memory
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. Bleu: a Method for Automatic Evaluation of Machine Translation
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers