Tyler Neylon

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 Tyler Neylon trusts overall

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

1. Michael Collins
2. Charles Sutton
3. Lawrence R. Rabiner
4. Andrew McCallum
5. Peter D. Turney
6. Koby Crammer
7. Ryan T. McDonald
8. Minqing Hu
9. Bo Pang
10. Yejin Choi

Papers from Tyler Neylon's perspective

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

Their papers

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