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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- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
Papers in
-
- Topic Modeling 25
- Natural Language Processing Techniques 20
- Bayesian Modeling and Causal Inference 19
- 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 10
- Advanced Image and Video Retrieval Techniques 10
- Co-authors
- Daphne Koller (14 shared papers)Carlos Guestrin (3 shared papers)Lise Getoor (18 shared papers)Pieter Abbeel (3 shared papers)Dan Klein (6 shared papers)Ben Sapp (2 shared papers)Kuzman Ganchev (13 shared papers)Benjamin Sapp (7 shared papers)
- Journals
- Journal of Machine Learning Research (5 papers)Bioinformatics (1 paper)Linear Algebra and its Applications (1 paper)IEEE Transactions on Medical Imaging (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- United StatesPortugalFrance
In The Last Decade
Ben Taskar
98 papers receiving 7.3k citations
Ben Taskar's Hit Papers
Peers
Comparison fields: 5 of 155
- Artificial Intelligence 5.1k
- Computer Vision and Pattern Recognition 2.7k
- Computational Mathematics 49
- Signal Processing 636
- Human-Computer Interaction 257
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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Max-Margin Markov Networks Hit paper breakdown → | 2003 | 867 |
| 2 | Discriminative probabilistic models for relational data | 2002 | 472 |
| 3 | Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning) Hit paper breakdown → | 2007 | 425 |
| 4 | 2009 | 349 | |
| 5 | Link Prediction in Relational Data | 2003 | 319 |
| 6 | 2006 | 313 | |
| 7 | 2005 | 305 | |
| 8 | 2005 | 305 | |
| 9 | MODEC: Multimodal Decomposable Models for Human Pose Estimation Hit paper breakdown → | 2013 | 291 |
| 10 | Posterior Regularization for Structured Latent Variable Models | 2010 | 273 |
| 11 | 2006 | 204 | |
| 12 | 2001 | 189 | |
| 13 | Probabilistic classification and clustering in relational data | 2001 | 186 |
| 14 | 2010 | 168 | |
| 15 | Max-Margin Parsing | 2004 | 156 |
| 16 | Learning from Partial Labels | 2011 | 149 |
| 17 | 2004 | 125 | |
| 18 | 2009 | 123 | |
| 19 | 2005 | 119 | |
| 20 | Expectation Maximization and Posterior Constraints | 2007 | 116 |
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 100 papers that have together received 7.9k indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Natural Language Processing Techniques (20 papers), Bayesian Modeling and Causal Inference (19 papers), Domain Adaptation and Few-Shot Learning (11 papers), Machine Learning and Algorithms (11 papers), Human Pose and Action Recognition (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Artificial Intelligence (5.1k citations), Computer Vision and Pattern Recognition (2.7k citations), Computational Mathematics (49 citations), Signal Processing (636 citations) and Human-Computer Interaction (257 citations). Ben Taskar has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Daphne Koller, Carlos Guestrin, Lise Getoor, Pieter Abbeel, Dan Klein, Ben Sapp, Kuzman Ganchev, Benjamin Sapp, Michael I. Jordan and Percy Liang. Their work appears in journals such as Journal of Machine Learning Research, Bioinformatics, Linear Algebra and its Applications, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.
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.