Colin Wilson

Artificial Intelligence · Linguistic Inquiry · 2001–2009

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #9,436 of 35,345 by trust here, #17,412 by citations
• Experimental and Cognitive Psychology — 29 citations into it; #398 of 9,731 by trust here, #2,347 by citations
• Language and Linguistics — 21 citations into it; #127 of 3,093 by trust here, #427 by citations
• Developmental and Educational Psychology — 8 citations into it
• Natural Language Processing — 8 citations into it
• Cognitive Science & Psychology — 7 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Colin Wilson trusts overall

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

1. Paul Smolensky
2. Robert Kirchner
3. Roger N. Shepard
4. Todd M. Bailey
5. Edward Flemming
6. Juliette Blevins
7. Paul Vit¶anyi
8. R. Rosenfeld
9. Jason Eisner
10. Lieven Vandenberghe

Who trusts Colin Wilson overall

1. Alex Warstadt
2. Joe Pater
3. Jie Zhang
4. John J. McCarthy
5. KevinM . Ryan
6. Shauli Ravfogel
7. Brenden M. Lake
8. Jeffrey Heinz
9. Tal Linzen
10. Samuel R. Bowman

Papers from Colin Wilson's perspective

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

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet classification with deep convolutional neural networks
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Information processing in dynamical systems: foundations of harmony theory
9. A Maximum Entropy Approach to Natural Language Processing
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Topics in Cognitive Science (2009) — 101 citations
• A Maximum Entropy Model of Phonotactics and Phonotactic Learning (2008) — 735 citations
• Learning Phonology With Substantive Bias: An Experimental and Computational Study of Velar Palatalization (2006) — 465 citations
• Consonant cluster neutralisation and targeted constraints (2001) — 170 citations