Douglas W. Oard
Artificial Intelligence · 1998–2021
A researcher in the Science corpus: 7 papers; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it
- Natural Language Processing — 23 citations into it; #5,491 of 5,688 by trust here, #5,502 by citations
- Information Systems — 18 citations into it
- Evaluation & Benchmarks — 14 citations into it; #1,854 of 3,147 by trust here, #2,853 by citations
- Information Retrieval & Search — 12 citations into it; #980 of 1,022 by trust here, #939 by citations
- Statistics and Probability — 9 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Douglas W. Oard trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ellen M. Voorhees
- Emine Yilmaz
- Justin Zobel
- David D. Lewis
- Mark Sanderson
- J. Aslam
- Aixia Guo
- Maura R. Grossman
- Pierre Baldi
- J. Konstan
Who trusts Douglas W. Oard overall
- Gediminas Adomavicius
- Yehuda Koren
- Paul Covington
- Zeno Gantner
- Zhongqi Lu
- Alexander Tuzhilin
- Christopher C. Johnson
- Weike Pan
- Eugene Agichtein
- Donna K. Harman
Papers from Douglas W. Oard's perspective
Ordered by how strongly the researchers Douglas W. Oard trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The Multilingual TEDx Corpus for Speech Recognition and Translation (2021) — 154 citations
- Information Retrieval for E-Discovery (2013) — 35 citations
- Tangent-CFT: An Embedding Model for Mathematical Formulas (2019) — 98 citations
- On Predicting Deletions of Microblog Posts (2015) — 19 citations
- Overview of the TREC 2011 Legal Track (2011) — 31 citations
- TREC 2006 Legal Track Overview (2006) — 86 citations
- Implicit Feedback for Recommender Systems (1998)