David Jurgens
Artificial Intelligence · 2012–2022
A researcher in the Science corpus: 17 papers; trusts 101 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 148 citations into it; #10,332 of 35,345 by trust here, #6,468 by citations
- Natural Language Processing — 111 citations into it; #1,547 of 5,688 by trust here, #1,377 by citations
- Sociology and Political Science — 57 citations into it; #7,328 of 22,756 by trust here, #4,059 by citations
- Safety, Robustness & Interpretability — 46 citations into it; #1,023 of 2,251 by trust here, #992 by citations
- Information Systems — 31 citations into it; #5,423 of 8,771 by trust here, #2,667 by citations
- Evaluation & Benchmarks — 23 citations into it; #1,174 of 3,147 by trust here, #493 by citations
- Social Psychology — 23 citations into it
- Statistical and Nonlinear Physics — 23 citations into it
Whom David Jurgens trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter D. Turney
- Ilya Sutskever
- Yoshua Bengio
- Matthew D. Zeiler
- Geoffrey E. Hinton
- Kyunghyun Cho
- Dzmitry Bahdanau
- Christopher D. Manning
- Diederik P. Kingma
- Alex Krizhevsky
Who trusts David Jurgens overall
- Svetlana Kiritchenko
- Saif M. Mohammad
- Wen-tau Yih
- Natalie Schluter
- Yulia Tsvetkov
- Mark Dredze
- Ignacio Iacobacci
- Tomas Mikolov
- Anjalie Field
- Bertie Vidgen
Papers from David Jurgens's perspective
Ordered by how strongly the researchers David Jurgens 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- 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)
Their papers
- Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts (2019) — 143 citations
- RtGender: A Corpus for Studying Differential Responses to Gender (2018) — 81 citations
- Measuring the Evolution of a Scientific Field through Citation Frames (2018) — 308 citations
- Incorporating Dialectal Variability for Socially Equitable Language Identification (2017) — 104 citations
- A Just and Comprehensive Strategy for Using NLP to Address Online Abuse (2019) — 153 citations
- Detecting Cross-Geographic Biases in Toxicity Modeling on Social Media (2021) — 47 citations
- User Migration in Online Social Networks: A Case Study on Reddit During a Period of Community Unrest (2016) — 129 citations
- Smart, Responsible, and Upper Caste Only: Measuring Caste Attitudes through Large-Scale Analysis of Matrimonial Profiles (2019) — 25 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations
- It’s going to be okay: Measuring Access to Support in Online Communities (2018) — 58 citations
- Language from police body camera footage shows racial disparities in officer respect (2017) — 328 citations
- Everyone's Invited: A New Paradigm for Evaluation on Non-Transferable Datasets (2015) — 3 citations
- Geolocation Prediction in Twitter Using Social Networks: A Critical Analysis and Review of Current Practice (2015) — 231 citations
- Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) (2015) — 47 citations
- Organizations Are Users Too: Characterizing and Detecting the Presence of Organizations on Twitter (2015) — 66 citations
- Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity (2013) — 196 citations
- SemEval-2012 Task 2: Measuring Degrees of Relational Similarity (2012) — 222 citations