Kim Schouten

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Natural Language Processing — 11 citations into it
• Information Systems — 8 citations into it

Whom Kim Schouten trusts overall

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

1. Minqing Hu
2. Ivan Titov
3. B. Liu
4. Charu C. Aggarwal
5. David M. Blei
6. Janyce Wiebe
7. Theresa Wilson
8. Maria Pontiki
9. Koby Crammer
10. Ryan T. McDonald

Who trusts Kim Schouten overall

1. Sven Buechel
2. Mayur Wankhade

Papers from Kim Schouten's perspective

Ordered by how strongly the researchers Kim Schouten 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Survey on Aspect-Level Sentiment Analysis (2016) — 775 citations