Matthew J. Denny

Natural Language Processing · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 8 citations into it
• Artificial Intelligence — 6 citations into it
• General Social Sciences — 6 citations into it

Whom Matthew J. Denny trusts overall

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

1. Justin Grimmer
2. David M. Blei
3. Kevin M. Quinn
4. Andrew Gelman
5. Brandon M Stewart
6. Burt L. Monroe
7. Andrew Y. Ng
8. Michael I. Jordan
9. Fabrizio Sebastiani
10. Iain Murray

Who trusts Matthew J. Denny overall

1. Matthew Gentzkow

Papers from Matthew J. Denny's perspective

Ordered by how strongly the researchers Matthew J. Denny 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. Gradient-based learning applied to document recognition
5. Latent Dirichlet Allocation
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It (2017) — 471 citations
• Assessing the Consequences of Text Preprocessing Decisions (2016) — 15 citations