Ben Taskar
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Bayesian Modeling and Causal Inference
- Machine Learning and Algorithms
- Text and Document Classification Technologies
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- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
-
- Topic Modeling 24
- Natural Language Processing Techniques 20
- Bayesian Modeling and Causal Inference 15
- Domain Adaptation and Few-Shot Learning 11
- Machine Learning and Algorithms 11
- Speech and dialogue systems 6
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- Human Pose and Action Recognition 8
- Advanced Image and Video Retrieval Techniques 8
- Co-authors
- Daphne Koller (11 shared papers)Carlos Guestrin (3 shared papers)Dan Klein (6 shared papers)Lise Getoor (14 shared papers)Pieter Abbeel (2 shared papers)Kuzman Ganchev (13 shared papers)Ben Sapp (2 shared papers)Michael I. Jordan (5 shared papers)
- Journals
- Journal of Machine Learning Research (5 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Statistics and Computing (1 paper)International Journal of Computer Vision (1 paper)Linear Algebra and its Applications (1 paper)
- Partner nations
- United StatesPortugalFrance
In The Last Decade
Ben Taskar
88 papers receiving 6.0k citations
Ben Taskar's Hit Papers
Peers
Comparison fields: 5 of 148
- Artificial Intelligence 4.4k
- Computer Vision and Pattern Recognition 2.2k
- Computational Mathematics 40
- Signal Processing 514
- Statistical and Nonlinear Physics 438
Countries citing papers authored by Ben Taskar
This map shows the geographic impact of Ben Taskar'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 Ben Taskar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Taskar more than expected).
Fields of papers citing papers by Ben Taskar
This network shows the impact of papers produced by Ben Taskar. 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 Ben Taskar. The network helps show where Ben Taskar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Taskar, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Max-Margin Markov Networks Hit paper breakdown → | 2003 | 759 |
| 2 | Discriminative probabilistic models for relational data | 2002 | 396 |
| 3 | Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) Hit paper breakdown → | 2007 | 328 |
| 4 | 2009 | 308 | |
| 5 | 2006 | 300 | |
| 6 | 2005 | 266 | |
| 7 | Link Prediction in Relational Data | 2003 | 264 |
| 8 | 2005 | 257 | |
| 9 | Posterior Regularization for Structured Latent Variable Models | 2010 | 255 |
| 10 | 2013 | 251 | |
| 11 | 2006 | 195 | |
| 12 | 2001 | 169 | |
| 13 | Probabilistic classification and clustering in relational data | 2001 | 155 |
| 14 | Max-Margin Parsing | 2004 | 144 |
| 15 | Learning from Partial Labels | 2011 | 124 |
| 16 | 2004 | 112 | |
| 17 | 2005 | 110 | |
| 18 | Expectation Maximization and Posterior Constraints | 2007 | 108 |
| 19 | 2009 | 106 | |
| 20 | 2011 | 90 |
About Ben Taskar
Ben Taskar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Information Systems and Statistics and Probability, having authored 91 papers that have together received 6.5k indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers), Bayesian Modeling and Causal Inference (15 papers), Domain Adaptation and Few-Shot Learning (11 papers), Machine Learning and Algorithms (11 papers), Human Pose and Action Recognition (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Artificial Intelligence (4.4k citations), Computer Vision and Pattern Recognition (2.2k citations), Computational Mathematics (40 citations), Signal Processing (514 citations) and Statistical and Nonlinear Physics (438 citations). Ben Taskar has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Daphne Koller, Carlos Guestrin, Dan Klein, Lise Getoor, Pieter Abbeel, Kuzman Ganchev, Ben Sapp, Michael I. Jordan, Percy Liang and Jennifer Gillenwater. Their work appears in journals such as Journal of Machine Learning Research, IEEE Transactions on Pattern Analysis and Machine Intelligence, Statistics and Computing, International Journal of Computer Vision and Linear Algebra and its Applications.
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.