Hal Daumé
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
Papers in
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- Topic Modeling 84
- Natural Language Processing Techniques 63
- Machine Learning and Algorithms 17
- Advanced Text Analysis Techniques 13
- Machine Learning and Data Classification 12
- Domain Adaptation and Few-Shot Learning 11
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- Multimodal Machine Learning Applications 20
- Advanced Image and Video Retrieval Techniques 12
- Co-authors
- Daniel Marcu (11 shared papers)Abhishek Kumar (5 shared papers)Piyush Rai (11 shared papers)Jordan Lee Boyd-Graber (15 shared papers)Mohit Iyyer (5 shared papers)Lucy Vanderwende (1 shared paper)Katrin Kirchhoff (1 shared paper)Abhishek Sharma (1 shared paper)
- Journals
- PLoS ONE (3 papers)Transactions of the Association for Computational Linguistics (2 papers)Proceedings of the ACM on Human-Computer Interaction (2 papers)Machine Learning (2 papers)Computational Linguistics (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Hal Daumé
173 papers receiving 9.5k citations
Hal Daumé's Hit Papers
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 6.8k
- Computer Vision and Pattern Recognition 3.6k
- Health Informatics 147
- Computational Mathematics 47
- Computer Science Applications 392
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 183 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Co-regularized Multi-view Spectral Clustering Hit paper breakdown → | 2011 | 761 |
| 2 | Generalized Multiview Analysis: A discriminative latent space Hit paper breakdown → | 2012 | 601 |
| 3 | Domain Adaptation for Statistical Classifiers Hit paper breakdown → | 2006 | 593 |
| 4 | Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Hit paper breakdown → | 2013 | 578 |
| 5 | Improving Fairness in Machine Learning Systems Hit paper breakdown → | 2019 | 556 |
| 6 | A Co-training Approach for Multi-view Spectral Clustering Hit paper breakdown → | 2011 | 546 |
| 7 | Deep Unordered Composition Rivals Syntactic Methods for Text Classification Hit paper breakdown → | 2015 | 530 |
| 8 | Midge: Generating Image Descriptions From Computer Vision Detections | 2012 | 289 |
| 9 | 2009 | 266 | |
| 10 | Corpus-Guided Sentence Generation of Natural Images | 2011 | 254 |
| 11 | 2014 | 223 | |
| 12 | 2006 | 185 | |
| 13 | Incorporating Lexical Priors into Topic Models | 2010 | 174 |
| 14 | 2018 | 163 | |
| 15 | Frustratingly Easy Semi-Supervised Domain Adaptation | 2010 | 125 |
| 16 | 2012 | 119 | |
| 17 | Co-regularization Based Semi-supervised Domain Adaptation | 2010 | 110 |
| 18 | 2005 | 107 | |
| 19 | 2018 | 107 | |
| 20 | 2016 | 97 |
About Hal Daumé
Hal Daumé is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Science Applications, Safety Research and Information Systems, having authored 183 papers that have together received 10.0k indexed citations. Recurring topics across this work include Topic Modeling (84 papers), Natural Language Processing Techniques (63 papers), Multimodal Machine Learning Applications (20 papers), Machine Learning and Algorithms (17 papers), Advanced Text Analysis Techniques (13 papers), Advanced Image and Video Retrieval Techniques (12 papers), Machine Learning and Data Classification (12 papers) and Domain Adaptation and Few-Shot Learning (11 papers). The work is most often cited by research in Artificial Intelligence (6.8k citations), Computer Vision and Pattern Recognition (3.6k citations), Health Informatics (147 citations), Computational Mathematics (47 citations) and Computer Science Applications (392 citations). Hal Daumé has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Daniel Marcu, Abhishek Kumar, Piyush Rai, Jordan Lee Boyd-Graber, Mohit Iyyer, Lucy Vanderwende, Katrin Kirchhoff, Abhishek Sharma, Anurag Kumar and Jagadeesh Jagarlamudi. Their work appears in journals such as PLoS ONE, Transactions of the Association for Computational Linguistics, Proceedings of the ACM on Human-Computer Interaction, Machine Learning and Computational Linguistics.
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.