Yves Scherrer

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it; #9,229 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 49 citations into it; #1,880 of 5,688 by trust here, #3,754 by citations
• Computer Vision and Pattern Recognition — 32 citations into it; #6,517 of 21,575 by trust here, #13,269 by citations
• Model Architectures — 24 citations into it
• Evaluation & Benchmarks — 9 citations into it

Whom Yves Scherrer trusts overall

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

1. Rico Sennrich
2. Philipp Koehn
3. Yoshua Bengio
4. Kyunghyun Cho
5. Geoffrey E. Hinton
6. Dzmitry Bahdanau
7. Ilya Sutskever
8. Diederik P. Kingma
9. Christopher D. Manning
10. Alex Krizhevsky

Who trusts Yves Scherrer overall

1. Felix Stahlberg
2. Kellie Webster
3. Dario Stojanovski
4. Amane Sugiyama
5. Amit Moryossef
6. Elena Voita
7. Kalpesh Krishna
8. Jiacheng Zhang
9. Aarne Talman
10. Emily Pitler

Papers from Yves Scherrer's perspective

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

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

Their papers

• Neural Machine Translation with Extended Context (2017) — 269 citations
• Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation (2020) — 97 citations
• The University of Helsinki Submissions to the WMT19 News Translation Task (2019) — 7 citations