Moritz Sudhof

Artificial Intelligence · 2013–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #33,341 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 10 citations into it; #5,356 of 5,688 by trust here, #3,897 by citations
• Economics and Econometrics — 9 citations into it; #17,838 of 23,481 by trust here, #22,774 by citations

Whom Moritz Sudhof trusts overall

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

1. Peter D. Turney
2. Christopher Potts
3. Francis X. Diebold
4. Ò. Jordà
5. Tim Loughran
6. Clayton J. Hutto
7. Marie-Catherine de Marneffe

Who trusts Moritz Sudhof overall

1. Dong Nguyen
2. Geert Bekaert
3. Anna Wegmann
4. David Jurgens

Papers from Moritz Sudhof's perspective

Ordered by how strongly the researchers Moritz Sudhof 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. Thumbs up? Sentiment Classification using Machine Learning Techniques
4. Long Short-Term Memory
5. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
6. Generating Typed Dependency Parses from Phrase Structure Parses
7. ImageNet classification with deep convolutional neural networks
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A computational approach to politeness with application to social factors (2013) — 507 citations
• Measuring news sentiment (2020) — 438 citations