Simon Suster

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #24,308 of 35,345 by trust here, #30,347 by citations
• Natural Language Processing — 27 citations into it
• Evaluation & Benchmarks — 19 citations into it; #2,185 of 3,147 by trust here, #2,971 by citations
• Computer Vision and Pattern Recognition — 10 citations into it; #15,032 of 21,575 by trust here, #19,310 by citations
• Molecular Biology — 7 citations into it

Whom Simon Suster trusts overall

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

1. Dina Demner-Fushman
2. Danqi Chen
3. Yoshua Bengio
4. Andreas Stolcke
5. Tomas Mikolov
6. Geoffrey E. Hinton
7. James Bergstra
8. Johannes Welbl
9. Jason Aaron Edward Weston
10. Diederik P. Kingma

Who trusts Simon Suster overall

1. Saku Sugawara
2. Kentaro Inui
3. Ankit Pal
4. Satoshi Sekine

Papers from Simon Suster's perspective

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

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

Their papers

• CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension (2018) — 97 citations