Roy Bar-Haim

Natural Language Processing · 2007–2015

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Roy Bar-Haim trusts overall

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

  1. Dekang Lin
  2. Ido Dagan
  3. Michael Collins
  4. Bill MacCartney
  5. Idan Szpektor
  6. Patrick Pantel
  7. Evgeniy Gabrilovich
  8. Johan Bos
  9. Luisa Bentivogli
  10. Christopher D. Manning

Who trusts Roy Bar-Haim overall

  1. Asher Stern
  2. Amrith Krishna
  3. Huy D. Huynh
  4. Ido Dagan
  5. Heeyoung Lee
  6. Assaf Toledo
  7. Sebastian Riedel
  8. Lien Minh Dang
  9. Mihai Surdeanu

Papers from Roy Bar-Haim's perspective

Ordered by how strongly the researchers Roy Bar-Haim trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers