Terry Koo

Natural Language Processing · 2000–2014

A researcher in the Science corpus: 5 papers; trusts 61 researchers and is trusted by 483 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 59 citations into it; #281 of 5,688 by trust here, #560 by citations
• Artificial Intelligence — 57 citations into it; #825 of 35,345 by trust here, #2,620 by citations
• Optimization & Training — 15 citations into it; #1,952 of 2,601 by trust here, #1,638 by citations
• Computer Vision and Pattern Recognition — 11 citations into it; #3,243 of 21,575 by trust here, #2,938 by citations
• Model Architectures — 10 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Terry Koo trusts overall

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

1. Michael Collins
2. Ryan T. McDonald
3. Adwait Ratnaparkhi
4. Fernando C Pereira
5. Koby Crammer
6. John D. Lafferty
7. Sabine Buchholz
8. Yoav Freund
9. Robert E. Schapire
10. Judea Pearl

Who trusts Terry Koo overall

1. Michael Collins
2. Yoav Goldberg
3. Mohit Bansal
4. Daniel Klein
5. Greg Durrett
6. Christopher D. Manning
7. David Weiss
8. James Henderson
9. Zhiguo Wang
10. Yoshua Bengio

Papers from Terry Koo's perspective

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

Their papers

• Grammar as a Foreign Language (2014) — 942 citations
• Discriminative Reranking for Natural Language Parsing (2000) — 834 citations
• Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks (2008) — 184 citations
• Simple Semi-supervised Dependency Parsing (2008) — 502 citations
• Structured Prediction Models via the Matrix-Tree Theorem (2007) — 170 citations