Scott Nowson
Artificial Intelligence · 2015
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 63 citations into it; #29,373 of 35,345 by trust here, #22,463 by citations
- Natural Language Processing — 54 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Evaluation & Benchmarks — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Scott Nowson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Philipp Koehn
- Franz Joseph Och
- Thomas G. Dietterich
- Robert E. Schapire
- Andreas Stolcke
- Kenneth Heafield
- Mauro Cettolo
- Francisco Manuel Rangel Pardo
- Stanley F. Chen
- Gene H. Golub
Who trusts Scott Nowson overall
Papers from Scott Nowson's perspective
Ordered by how strongly the researchers Scott Nowson trusts endorse each paper. Same corpus, a different order for every researcher.
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Efficient Estimation of Word Representations in Vector Space
- An Empirical Study of Smoothing Techniques for Language Modeling
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
Their papers
- Motivating Personality-aware Machine Translation (2015) — 58 citations
- Conference on Empirical Methods in Natural Language Processing Proceedings of the Fourth International Workshop on Natural Language Processing for Social Media Socialnlp@emnlp2016 Chairs' Welcome Identifying and Categorizing Disaster-related Tweets Why Do They Leave: Modeling Participation in Online