David L. Chen
Natural Language Processing · 2008–2014
A researcher in the Science corpus: 5 papers; trusts 89 researchers and is trusted by 441 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 48 citations into it; #204 of 5,688 by trust here, #589 by citations
- Artificial Intelligence — 35 citations into it; #1,331 of 35,345 by trust here, #4,420 by citations
- Evaluation & Benchmarks — 11 citations into it; #200 of 3,147 by trust here, #803 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
Whom David L. Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Raymond J. Mooney
- Luke S. Zettlemoyer
- Percy Liang
- Michael Collins
- Regina Barzilay
- Michael I. Jordan
- M. MacMahon
- William B. Dolan
- Joohyun Kim
- Benjamin Snyder
Who trusts David L. Chen overall
- Percy Liang
- Yoav Artzi
- Raymond J. Mooney
- Luke S. Zettlemoyer
- Mohit Bansal
- Hannaneh Hajishirzi
- Jayant Krishnamurthy
- Ramakanth Pasunuru
- Jacob Andreas
- Subhashini Venugopalan
Papers from David L. Chen's perspective
Ordered by how strongly the researchers David L. Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Learning to Interpret Natural Language Navigation Instructions from Observations (2011) — 545 citations
- Learning to sportscast: a test of grounded language acquisition (2008) — 270 citations
- Training a Multilingual Sportscaster: Using Perceptual Context to Learn Language (2014) — 116 citations
- Fast Online Lexicon Learning for Grounded Language Acquisition (2012) — 38 citations
- Collecting Highly Parallel Data for Paraphrase Evaluation (2011) — 1,514 citations