Aron Culotta
Artificial Intelligence · 2004–2016
A researcher in the Science corpus: 6 papers; trusts 44 researchers and is trusted by 65 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #3,858 of 35,345 by trust here, #8,810 by citations
- Natural Language Processing — 15 citations into it; #1,109 of 5,688 by trust here, #2,473 by citations
- Information Systems — 7 citations into it; #5,052 of 8,771 by trust here, #6,195 by citations
- Epidemiology — 6 citations into it; #207 of 2,148 by trust here, #1,292 by citations
- Evaluation & Benchmarks — 5 citations into it
- Sociology and Political Science — 5 citations into it; #4,250 of 22,756 by trust here, #10,424 by citations
Whom Aron Culotta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lawrence R. Rabiner
- Yuhai Wu
- Dustin Boswell
- Dong C. Liu
- Michael Collins
- David D. Lewis
- Corinna Cortes
- Andrew McCallum
- Daniel F. Gruhl
- John D. Lafferty
Who trusts Aron Culotta overall
- Burr Settles
- Razvan C. Bunescu
- Alessandro Moschitti
- Jing Jiang
- Raymond J. Mooney
- Gema Bello Orgaz
- Thien Huu Nguyen
- Ryan T. McDonald
- Zhiquan Ye
- Ahmet Aker
Papers from Aron Culotta's perspective
Ordered by how strongly the researchers Aron Culotta 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Dependency Tree Kernels for Relation Extraction (2004) — 934 citations
- Reducing Labeling Effort for Structured Prediction Tasks (2005) — 466 citations
- Towards detecting influenza epidemics by analyzing Twitter messages (2010) — 710 citations
- Robust Text Classification in the Presence of Confounding Bias (2016) — 50 citations
- Using matched samples to estimate the effects of exercise on mental health from twitter (2015) — 54 citations
- Interactive Information Extraction with Constrained Conditional Random Fields (2004) — 166 citations