Stanley Kok

Artificial Intelligence · 2004–2014

A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 58 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #3,763 of 35,345 by trust here, #6,796 by citations
• Natural Language Processing — 16 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Information Systems — 5 citations into it; #7,568 of 8,771 by trust here, #2,013 by citations
• Management Science and Operations Research — 5 citations into it; #2,019 of 11,946 by trust here, #1,269 by citations

Whom Stanley Kok trusts overall

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

1. Pedro M. Domingos
2. Matthew Richardson
3. Hoifung Poon
4. Julian Besag
5. Alexa T. McCray
6. Parag Singla
7. Andrew McCallum
8. Fei Sha
9. Mikhail Bilenko
10. Jennifer Neville

Who trusts Stanley Kok overall

1. Pedro M. Domingos
2. Lilyana Mihalkova
3. Parag Singla
4. Yoshua Bengio
5. Antoine Bordes
6. Maximilian Nickel
7. Tim Rocktaschel
8. Raymond J. Mooney
9. Fan Yang
10. Ilya Sutskever

Papers from Stanley Kok's perspective

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

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

Their papers

• Statistical predicate invention (2007) — 336 citations
• Learning the structure of Markov logic networks (2005) — 354 citations
• Web-scale information extraction in knowitall: (preliminary results) (2004) — 931 citations
• Language modeling with sum-product networks (2014) — 83 citations
• The Alchemy System for Statistical Relational AI: User Manual (2007) — 321 citations