Jeffrey C. Reynar

Artificial Intelligence · 2007–2008

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Natural Language Processing — 16 citations into it

Whom Jeffrey C. Reynar trusts overall

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

1. Michael Collins
2. Charles Sutton
3. Peter D. Turney
4. Andrew McCallum
5. Lawrence R. Rabiner

Papers from Jeffrey C. Reynar's perspective

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

1. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. WordNet: A Lexical Database for English
9. A tutorial on hidden Markov models and selected applications in speech recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Building a Sentiment Summarizer for Local Service Reviews (2008) — 449 citations
• Structured Models for Fine-to-Coarse Sentiment Analysis (2007) — 336 citations