Ella Rabinovich

Natural Language Processing · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Ella Rabinovich trusts overall

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

  1. Philipp Koehn
  2. Jianhua Lin
  3. Moshe Koppel
  4. Noam Ordan
  5. David Arthur
  6. Dan Pelleg
  7. Andrew Y. Ng
  8. Vered Volansky
  9. Michael S. Steinbach
  10. Ian T. Jolliffe

Who trusts Ella Rabinovich overall

  1. Malvina Nissim
  2. Alina Zhiltsova
  3. Thomas Manzini
  4. Rik van Noord
  5. Simon Caton
  6. Eva Vanmassenhove
  7. Yao Chong Lim
  8. Shayne Longpre
  9. Shuly Wintner
  10. Yulia Tsvetkov

Papers from Ella Rabinovich's perspective

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

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

Their papers