Marlies van der Wees
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 63 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it; #10,590 of 35,345 by trust here, #16,471 by citations
- Natural Language Processing — 43 citations into it; #2,077 of 5,688 by trust here, #3,478 by citations
- Computer Vision and Pattern Recognition — 26 citations into it; #7,312 of 21,575 by trust here, #11,498 by citations
- Model Architectures — 12 citations into it
Whom Marlies van der Wees trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Yoshua Bengio
- Ilya Sutskever
- Geoffrey E. Hinton
- Kyunghyun Cho
- Diederik P. Kingma
- Chenhui Chu
- Dzmitry Bahdanau
- Alex Graves
- Alex Krizhevsky
Who trusts Marlies van der Wees overall
- Felix Stahlberg
- Holger Schwenk
- Philipp Koehn
- David Vilar
- Huda Khayrallah
- Viktor Hangya
- Isaac Caswell
- Han Guo
- Xuan Zhang
- Wei Wang
Papers from Marlies van der Wees's perspective
Ordered by how strongly the researchers Marlies van der Wees 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)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Dynamic Data Selection for Neural Machine Translation (2017) — 156 citations
- Understanding Multi-Head Attention in Abstractive Summarization (2019) — 24 citations