Julia Ive

Natural Language Processing · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 19 citations into it
• Artificial Intelligence — 13 citations into it

Whom Julia Ive trusts overall

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

1. Andreas Stolcke
2. Kenneth Heafield
3. Colin Cherry
4. Stanley F. Chen
5. Reinhard Kneser
6. Chris Dyer
7. Philipp Koehn
8. Benjamin Marie
9. Hermann Ney
10. Joshua Goodman

Papers from Julia Ive's perspective

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

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

Their papers

• LIMSI’s Contribution to the WMT’16 Biomedical Translation Task (2016) — 5 citations
• LIMSI@WMT’15 : Translation Task (2015) — 10 citations