Laura Mascarell

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #20,652 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 16 citations into it; #3,510 of 5,688 by trust here, #4,682 by citations
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Laura Mascarell trusts overall

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

1. Rico Sennrich
2. George A. Miller
3. Barry Haddow
4. Tomas Mikolov
5. Andrei Alexandrescu
6. Alexandra Birch
7. Ilya Sutskever
8. Maria Pelevina
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Laura Mascarell overall

1. Yonatan Belinkov
2. Rachel Bawden

Papers from Laura Mascarell's perspective

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

1. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
2. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Efficient Estimation of Word Representations in Vector Space
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Bleu: a Method for Automatic Evaluation of Machine Translation
10. Gradient-based learning applied to document recognition

Their papers

• Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings (2017) — 133 citations