Daniel Tarlow
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Artificial Intelligence top 5%
- Topic Modeling
- Machine Learning and Algorithms
- Natural Language Processing Techniques
- Machine Learning and Data Classification
Papers in
-
- Machine Learning and Algorithms 11
- Bayesian Modeling and Causal Inference 8
- Machine Learning and Data Classification 6
- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 5
- Gaussian Processes and Bayesian Inference 4
- Co-authors
- Richard S. Zemel (12 shared papers)Chris J. Maddison (3 shared papers)Inmar E. Givoni (2 shared papers)Marc Brockschmidt (7 shared papers)Wei Yi (1 shared paper)Andrew D. Gordon (1 shared paper)Miltiadis Allamanis (1 shared paper)Alexander L. Gaunt (6 shared papers)
- Journals
- International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (4 papers)Uncertainty in Artificial Intelligence (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel Tarlow
38 papers receiving 638 citations
Peers
Comparison fields: 5 of 75
- Software 98
- Artificial Intelligence 378
- Computer Vision and Pattern Recognition 235
- Human-Computer Interaction 52
- Information Systems 191
Countries citing papers authored by Daniel Tarlow
This map shows the geographic impact of Daniel Tarlow'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 Daniel Tarlow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tarlow more than expected).
Fields of papers citing papers by Daniel Tarlow
This network shows the impact of papers produced by Daniel Tarlow. 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 Daniel Tarlow. The network helps show where Daniel Tarlow may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Tarlow, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 96 | |
| 2 | Bimodal Modelling of Source Code and Natural Language | 2015 | 91 |
| 3 | HOP-MAP: Efficient Message Passing with High Order Potentials | 2010 | 62 |
| 4 | 2016 | 59 | |
| 5 | A* Sampling | 2014 | 57 |
| 6 | 2010 | 32 | |
| 7 | Structured Output Learning with High Order Loss Functions | 2012 | 26 |
| 8 | Randomized Optimum Models for Structured Prediction | 2012 | 23 |
| 9 | 2012 | 23 | |
| 10 | Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning | 2013 | 20 |
| 11 | Structured Generative Models of Natural Source Code | 2014 | 19 |
| 12 | 2013 | 17 | |
| 13 | 2012 | 16 | |
| 14 | Dynamic Tree Block Coordinate Ascent | 2011 | 14 |
| 15 | PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair | 2021 | 12 |
| 16 | Cardinality Restricted Boltzmann Machines | 2012 | 10 |
| 17 | Learning Structured Models with the AUC Loss and Its Generalizations | 2014 | 9 |
| 18 | 2012 | 9 | |
| 19 | Graph cuts is a max-product algorithm | 2011 | 9 |
| 20 | Probabilistic n-Choose-k Models for Classification and Ranking | 2012 | 7 |
About Daniel Tarlow
Daniel Tarlow is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Computer Networks and Communications and Signal Processing, having authored 38 papers that have together received 674 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (11 papers), Bayesian Modeling and Causal Inference (8 papers), Machine Learning and Data Classification (6 papers), Software Engineering Research (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Topic Modeling (5 papers), Error Correcting Code Techniques (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). The work is most often cited by research in Software (98 citations), Artificial Intelligence (378 citations), Computer Vision and Pattern Recognition (235 citations), Human-Computer Interaction (52 citations) and Information Systems (191 citations). Daniel Tarlow has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Richard S. Zemel, Chris J. Maddison, Inmar E. Givoni, Marc Brockschmidt, Wei Yi, Andrew D. Gordon, Miltiadis Allamanis, Alexander L. Gaunt, Tom Minka and Sebastian Nowozin. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Digital Access to Scholarship at Harvard (DASH) (Harvard University), Uncertainty in Artificial Intelligence and Edinburgh Research Explorer (University of Edinburgh).
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.