Hal Daumé
Impact in
- Artificial Intelligence top 0.1%
- Natural Language Processing Techniques
- Advanced Clustering Algorithms Research
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
- Sentiment Analysis and Opinion Mining
- Safety Research top 0.1%
- Ethics and Social Impacts of AI
Papers in
-
- Natural Language Processing Techniques 30
- Topic Modeling 11
- Explainable Artificial Intelligence (XAI) 6
- Advanced Text Analysis Techniques 5
- Domain Adaptation and Few-Shot Learning 5
-
- Ethics and Social Impacts of AI 15
- Co-authors
- Daniel Marcu (11 shared papers)Abhishek Kumar (5 shared papers)Hanna Wallach (9 shared papers)Piyush Rai (11 shared papers)Jordan Lee Boyd-Graber (15 shared papers)Jennifer Wortman Vaughan (6 shared papers)Mohit Iyyer (5 shared papers)Katrin Kirchhoff (1 shared paper)
- Journals
- PLoS ONE (3 papers)Proceedings of the ACM on Human-Computer Interaction (2 papers)Communications of the ACM (2 papers)Transactions of the Association for Computational Linguistics (2 papers)Machine Learning (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Hal Daumé
174 papers receiving 11.4k citations
Hal Daumé's Hit Papers
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 4.6k
- Safety Research 1.0k
- Computer Vision and Pattern Recognition 1.5k
- Computer Science Applications 253
- Health Informatics 80
Countries citing papers authored by Hal Daumé
This map shows the geographic impact of Hal Daumé's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hal Daumé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hal Daumé more than expected).
Fields of papers citing papers by Hal Daumé
This network shows the impact of papers produced by Hal Daumé. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hal Daumé. The network helps show where Hal Daumé may publish in the future.
Co-authors
The 25 scholars most cited alongside Hal Daumé, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Datasheets for datasets Hit paper breakdown → | 2021 | 1099 |
| 2 | Co-regularized Multi-view Spectral Clustering Hit paper breakdown → | 2011 | 761 |
| 3 | Language (Technology) is Power: A Critical Survey of “Bias” in NLP Hit paper breakdown → | 2020 | 653 |
| 4 | Generalized Multiview Analysis: A discriminative latent space Hit paper breakdown → | 2012 | 608 |
| 5 | Domain Adaptation for Statistical Classifiers Hit paper breakdown → | 2006 | 593 |
| 6 | Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Hit paper breakdown → | 2013 | 582 |
| 7 | Improving Fairness in Machine Learning Systems Hit paper breakdown → | 2019 | 574 |
| 8 | A Co-training Approach for Multi-view Spectral Clustering Hit paper breakdown → | 2011 | 545 |
| 9 | Deep Unordered Composition Rivals Syntactic Methods for Text Classification Hit paper breakdown → | 2015 | 545 |
| 10 | Midge: Generating Image Descriptions From Computer Vision Detections | 2012 | 290 |
| 11 | 2009 | 280 | |
| 12 | Corpus-Guided Sentence Generation of Natural Images | 2011 | 252 |
| 13 | 2014 | 225 | |
| 14 | 2006 | 186 | |
| 15 | Incorporating Lexical Priors into Topic Models | 2010 | 178 |
| 16 | 2018 | 161 | |
| 17 | Frustratingly Easy Semi-Supervised Domain Adaptation | 2010 | 126 |
| 18 | 2012 | 120 | |
| 19 | 2018 | 116 | |
| 20 | Co-regularization Based Semi-supervised Domain Adaptation | 2010 | 111 |
About Hal Daumé
Hal Daumé is a scholar working on Artificial Intelligence, Safety Research, Computer Science Applications, Computer Vision and Pattern Recognition and Information Systems, having authored 185 papers that have together received 12.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (30 papers), Ethics and Social Impacts of AI (15 papers), Topic Modeling (11 papers), Multimodal Machine Learning Applications (7 papers), Explainable Artificial Intelligence (XAI) (6 papers), Advanced Text Analysis Techniques (5 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Online Learning and Analytics (5 papers). The work is most often cited by research in Artificial Intelligence (4.6k citations), Safety Research (1.0k citations), Computer Vision and Pattern Recognition (1.5k citations), Computer Science Applications (253 citations) and Health Informatics (80 citations). Hal Daumé has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Daniel Marcu, Abhishek Kumar, Hanna Wallach, Piyush Rai, Jordan Lee Boyd-Graber, Jennifer Wortman Vaughan, Mohit Iyyer, Katrin Kirchhoff, Lucy Vanderwende and Su Lin Blodgett. Their work appears in journals such as PLoS ONE, Proceedings of the ACM on Human-Computer Interaction, Communications of the ACM, Transactions of the Association for Computational Linguistics and Machine Learning.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.