Ben Taskar

11.0k citations
92 papers · 7.5k · 3 hit papers · h-index 41

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Bayesian Modeling and Causal Inference
    • Machine Learning and Algorithms
    • Human Pose and Action Recognition
    • Advanced Image and Video Retrieval Techniques
    • Video Surveillance and Tracking Methods

Papers in

    • Topic Modeling 22
    • Natural Language Processing Techniques 18
    • Bayesian Modeling and Causal Inference 16
    • Domain Adaptation and Few-Shot Learning 11
    • Machine Learning and Algorithms 9
    • Speech and dialogue systems 6
    • Human Pose and Action Recognition 10
    • Advanced Image and Video Retrieval Techniques 10

Ben Taskar

91 papers receiving 7.0k citations

Ben Taskar's Hit Papers

MODEC: Multimodal Decomposable Models for Human Pose Estimation 2013 · 318 citations
3180+7+15Years since publication250500750

Peers

Ben Taskar
Comparison fields: 5 of 153
  • Artificial Intelligence 4.8k
  • Computer Vision and Pattern Recognition 2.7k
  • Computational Mathematics 41
  • Signal Processing 600
  • Human-Computer Interaction 268
Replace Matthew Brand with:
Matthew Brand United States
Marcello Pelillo Italy
Anastasios Tefas Greece
Matthieu Devin United States
Yang Yang China
John S. Denker United States
Jiajun Bu China
Richang Hong China
Brian Kulis United States
Tong Zhang United States
Ben Taskar relative to Matthew Brand United States Matthew Brand's profile →
Citations per field
00.5×2×3×3.6×
Matthew Brand · 1×
Citations per year

Countries citing papers authored by Ben Taskar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ben Taskar Line = papers co-authored together Ben Taskar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Max-Margin Markov Networks
Hit paper breakdown →
2003845
2
Discriminative probabilistic models for relational data
2002449
3
Introduction to Statistical Relational Learning (Adaptive Computation and Machine Learning)
Hit paper breakdown →
2007411
4 2009351
5 2006318
6
MODEC: Multimodal Decomposable Models for Human Pose Estimation
Hit paper breakdown →
2013318
7
Link Prediction in Relational Data
2003309
8 2005306
9 2005301
10
Posterior Regularization for Structured Latent Variable Models
2010280
11 2006194
12 2001186
13
Probabilistic classification and clustering in relational data
2001181
14 2010177
15
Learning from Partial Labels
2011156
16
Max-Margin Parsing
2004149
17 2009132
18 2005121
19 2011112
20 2010107

About Ben Taskar

Ben Taskar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Statistics and Probability and Information Systems, having authored 92 papers that have together received 7.5k indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (18 papers), Bayesian Modeling and Causal Inference (16 papers), Domain Adaptation and Few-Shot Learning (11 papers), Human Pose and Action Recognition (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Machine Learning and Algorithms (9 papers) and Speech and dialogue systems (6 papers). The work is most often cited by research in Artificial Intelligence (4.8k citations), Computer Vision and Pattern Recognition (2.7k citations), Computational Mathematics (41 citations), Signal Processing (600 citations) and Human-Computer Interaction (268 citations). Ben Taskar has collaborated with scholars based in United States, Portugal and France. Frequent co-authors include Daphne Koller, Carlos Guestrin, Lise Getoor, Dan Klein, Pieter Abbeel, Ben Sapp, Benjamin Sapp, Michael I. Jordan, Percy Liang and Jennifer Gillenwater. Their work appears in journals such as Journal of Machine Learning Research, Bioinformatics, Journal of Artificial Intelligence Research, IEEE Design and Test and Statistics and Computing.

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.

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