Eva Vanmassenhove
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #12,388 of 35,345 by trust here, #14,181 by citations
- Natural Language Processing — 19 citations into it; #2,354 of 5,688 by trust here, #3,014 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Eva Vanmassenhove trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Rico Sennrich
- Kyunghyun Cho
- Ilya Sutskever
- Dzmitry Bahdanau
- Jörg Tiedemann
- Yoshua Bengio
- Shuly Wintner
- Shachar Mirkin
- Barry Haddow
Who trusts Eva Vanmassenhove overall
- Yonatan Belinkov
- Marta Ruiz Costa-jussà
- Karolina Stańczak
- Nizar Habash
- Christine Basta
- Danielle Saunders
- Emily Sheng
- Su Lin Blodgett
- Marcus Tomalin
- Isabelle Augenstein
Papers from Eva Vanmassenhove's perspective
Ordered by how strongly the researchers Eva Vanmassenhove trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- Getting Gender Right in Neural Machine Translation (2019) — 217 citations
- Europarl Datasets with Demographic Speaker Information (2018) — 15 citations
- Investigating ‘Aspect’ in NMT and SMT: Translating the English Simple Past and Present Perfect (2017) — 22 citations