Jeffrey Scott Sorensen

Artificial Intelligence · 2004–2022

A researcher in the Science corpus: 7 papers; trusts 77 researchers and is trusted by 77 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 107 citations into it; #3,064 of 35,345 by trust here, #3,035 by citations
• Natural Language Processing — 79 citations into it; #932 of 5,688 by trust here, #1,059 by citations
• Safety, Robustness & Interpretability — 34 citations into it; #742 of 2,251 by trust here, #481 by citations
• Computer Vision and Pattern Recognition — 25 citations into it
• Large Language Models — 14 citations into it
• Information Systems — 13 citations into it
• Safety Research — 10 citations into it; #3,198 of 5,829 by trust here, #1,039 by citations
• Evaluation & Benchmarks — 9 citations into it; #2,136 of 3,147 by trust here, #1,467 by citations

Whom Jeffrey Scott Sorensen trusts overall

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

1. Yuhai Wu
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Dustin Boswell
5. Michael Collins
6. Diederik P. Kingma
7. Ilya Sutskever
8. Alex Krizhevsky
9. Guillaume Lample
10. Corinna Cortes

Who trusts Jeffrey Scott Sorensen overall

1. Razvan C. Bunescu
2. Alessandro Moschitti
3. Jing Jiang
4. Raymond J. Mooney
5. Svetlana Kiritchenko
6. Oguzhan Gencoglu
7. Debora Nozza
8. Thien Huu Nguyen
9. Ryan T. McDonald
10. Zhiquan Ye

Papers from Jeffrey Scott Sorensen's perspective

Ordered by how strongly the researchers Jeffrey Scott Sorensen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Measuring and Mitigating Unintended Bias in Text Classification (2018) — 916 citations
• Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification (2019) — 607 citations
• Dependency Tree Kernels for Relation Extraction (2004) — 934 citations
• Accurate and compact large vocabulary speech recognition on mobile devices (2013) — 128 citations
• A New Generation of Perspective API: Efficient Multilingual Character-level Transformers (2022) — 306 citations
• Civil Rephrases Of Toxic Texts With Self-Supervised Transformers (2021) — 58 citations
• The OpenGrm open-source finite-state grammar software libraries (2012) — 120 citations