| Year |
Citation |
Score |
| 2015 |
Rising J, Kulesza A, Taskar B. An efficient algorithm for the symmetric principal minor assignment problem Linear Algebra and Its Applications. 473: 126-144. DOI: 10.1016/j.laa.2014.04.019 |
0.92 |
|
| 2015 |
Chen T, Singh S, Taskar B, Guestrin C. Efficient second-order gradient boosting for conditional random fields Journal of Machine Learning Research. 38: 147-155. |
0.92 |
|
| 2014 |
Zhang Q, Gollakota S, Taskar B, Rao RPN. Non-intrusive tongue machine interface Conference On Human Factors in Computing Systems - Proceedings. 2555-2558. DOI: 10.1145/2556288.2556981 |
0.92 |
|
| 2014 |
Lee EA, Rabaey J, Hartmann B, Kubiatowicz J, Pister K, Simunic Rosing T, Wawrzynek J, Wessel D, Sangiovanni-Vincentelli A, Seshia SA, Blaauw D, Dutta P, Fu K, Guestrin C, Taskar B, et al. The swarm at the edge of the cloud Ieee Design and Test. 31: 8-20. DOI: 10.1109/MDAT.2014.2314600 |
0.92 |
|
| 2014 |
Vedaldi A, Mahendran S, Tsogkas S, Maji S, Girshick R, Kannala J, Rahtu E, Kokkinos I, Blaschko MB, Weiss D, Taskar B, Simonyan K, Saphra N, Mohamed S. Understanding objects in detail with fine-grained attributes Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3622-3629. DOI: 10.1109/CVPR.2014.463 |
0.92 |
|
| 2014 |
Sun M, Farhadi A, Taskar B, Seitz S. Salient montages from unconstrained videos Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8695: 472-488. DOI: 10.1007/978-3-319-10584-0_31 |
0.92 |
|
| 2014 |
Affandi RH, Fox EB, Adams RP, Taskar B. Learning the parameters of determinantal point process kernels 31st International Conference On Machine Learning, Icml 2014. 4: 2967-2981. |
0.92 |
|
| 2014 |
London B, Huang B, Taskar B, Getoor L. PAC-Bayesian collective stability Journal of Machine Learning Research. 33: 585-594. |
0.92 |
|
| 2014 |
Gillenwater J, Kulesza A, Fox E, Taskar B. Expectation-maximization for learning determinantal point processes Advances in Neural Information Processing Systems. 4: 3149-3157. |
0.92 |
|
| 2013 |
Weiss D, Sapp B, Taskar B. Dynamic Structured Model Selection Proceedings of the Ieee International Conference On Computer Vision. 2656-2663. DOI: 10.1109/ICCV.2013.330 |
0.92 |
|
| 2013 |
Sapp B, Taskar B. MODEC: Multimodal decomposable models for human pose estimation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3674-3681. DOI: 10.1109/CVPR.2013.471 |
0.92 |
|
| 2013 |
Weiss D, Taskar B. SCALPEL: Segmentation cascades with localized priors and efficient learning Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2035-2042. DOI: 10.1109/CVPR.2013.265 |
0.92 |
|
| 2013 |
Pele O, Taskar B. The tangent Earth mover's distance Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8085: 397-404. DOI: 10.1007/978-3-642-40020-9_43 |
0.92 |
|
| 2013 |
Weiss D, Taskar B. Learning adaptive value of information for structured prediction Advances in Neural Information Processing Systems. |
0.92 |
|
| 2013 |
Pele O, Taskar B, Globerson A, Werman M. The pairwise piecewise-linear embedding for efficient non-linear classification 30th International Conference On Machine Learning, Icml 2013. 205-213. |
0.92 |
|
| 2013 |
Affandi RH, Fox EB, Taskar B. Approximate inference in continuous determinantal point processes Advances in Neural Information Processing Systems. |
0.92 |
|
| 2013 |
Affandi RH, Kulesza A, Fox EB, Taskar B. Nyström approximation for large-scale determinantal processes Journal of Machine Learning Research. 31: 85-98. |
0.92 |
|
| 2012 |
Batmanghelich NK, Taskar B, Davatzikos C. Generative-discriminative basis learning for medical imaging. Ieee Transactions On Medical Imaging. 31: 51-69. PMID 21791408 DOI: 10.1109/TMI.2011.2162961 |
0.92 |
|
| 2012 |
Kulesza A, Taskar B. Determinantal point processes for machine learning Foundations and Trends in Machine Learning. 5: 123-286. DOI: 10.1561/2200000044 |
0.92 |
|
| 2012 |
Toshev A, Taskar B, Daniilidis K. Shape-based object detection via boundary structure segmentation International Journal of Computer Vision. 99: 123-146. DOI: 10.1007/s11263-012-0521-z |
0.92 |
|
| 2012 |
Li S, Graça JV, Taskar B. Wiki-ly supervised part-of-speech tagging Emnlp-Conll 2012 - 2012 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 1389-1398. |
0.92 |
|
| 2012 |
Gillenwater J, Kulesza A, Taskar B. Discovering diverse and salient threads in document collections Emnlp-Conll 2012 - 2012 Joint Conference On Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. 710-720. |
0.92 |
|
| 2012 |
Gillenwater J, Kulesza A, Taskar B. Near-optimal MAP inference for determinantal point processes Advances in Neural Information Processing Systems. 4: 2735-2743. |
0.92 |
|
| 2011 |
Batmanghelich N, Dong A, Taskar B, Davatzikos C. Regularized tensor factorization for multi-modality medical image classification. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 14: 17-24. PMID 22003679 DOI: 10.1007/978-3-642-23626-6_3 |
0.92 |
|
| 2011 |
Graça JV, Ganchev K, Coheur L, Pereira F, Taskar B. Controlling complexity in part-of-speech induction Journal of Artificial Intelligence Research. 41: 527-551. DOI: 10.1613/jair.3348 |
0.92 |
|
| 2011 |
Batmanghelich KN, Ye DH, Pohl KM, Taskar B, Davatzikos C. Disease classification and prediction via semi-supervised dimensionality reduction Proceedings - International Symposium On Biomedical Imaging. 1086-1090. DOI: 10.1109/ISBI.2011.5872590 |
0.92 |
|
| 2011 |
Sapp B, Weiss D, Taskar B. Parsing human motion with stretchable models Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1281-1288. DOI: 10.1109/CVPR.2011.5995607 |
0.92 |
|
| 2011 |
Kulesza A, Taskar B. k-DPPs: Fixed-size determinantal point processes Proceedings of the 28th International Conference On Machine Learning, Icml 2011. 1193-1200. |
0.92 |
|
| 2011 |
Kulesza A, Taskar B. Learning determinantal point processes Proceedings of the 27th Conference On Uncertainty in Artificial Intelligence, Uai 2011. 419-427. |
0.92 |
|
| 2011 |
Cour T, Sapp B, Taskar B. Learning from partial labels Journal of Machine Learning Research. 12: 1501-1536. |
0.92 |
|
| 2011 |
Gillenwater J, Ganchev K, Graça J, Pereira F, Taskar B. Posterior sparsity in unsupervised dependency parsing Journal of Machine Learning Research. 12: 455-490. |
0.92 |
|
| 2010 |
Graça JV, Ganchev K, Taskar B. Learning tractableword alignmentmodels with complex constraints Computational Linguistics. 36: 481-504. DOI: 10.1162/coli_a_00007 |
0.92 |
|
| 2010 |
Stoyanovich J, Taskar B, Davidson S. Exploring repositories of scientific workflows Proceedings of the Acm Sigmod International Conference On Management of Data. DOI: 10.1145/1833398.1833405 |
0.92 |
|
| 2010 |
Batmanghelich N, Gooya A, Kanterakis S, Taskar B, Davatzikos C. Application of trace-norm and low-rank matrix decomposition for computational anatomy 2010 Ieee Computer Society Conference On Computer Vision and Pattern Recognition - Workshops, Cvprw 2010. 146-153. DOI: 10.1109/CVPRW.2010.5543596 |
0.92 |
|
| 2010 |
Toshev A, Mordohai P, Taskar B. Detecting and parsing architecture at city scale from range data Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 398-405. DOI: 10.1109/CVPR.2010.5540187 |
0.92 |
|
| 2010 |
Sapp B, Jordan C, Taskar B. Adaptive pose priors for pictorial structures Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 422-429. DOI: 10.1109/CVPR.2010.5540182 |
0.92 |
|
| 2010 |
Toshev A, Taskar B, Daniilidis K. Object detection via boundary structure segmentation Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 950-957. DOI: 10.1109/CVPR.2010.5540114 |
0.92 |
|
| 2010 |
Cour T, Sapp B, Nagle A, Taskar B. Talking pictures: Temporal grouping and dialog-supervised person recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1014-1021. DOI: 10.1109/CVPR.2010.5540106 |
0.92 |
|
| 2010 |
Obozinski G, Taskar B, Jordan MI. Joint covariate selection and joint subspace selection for multiple classification problems Statistics and Computing. 20: 231-252. DOI: 10.1007/s11222-008-9111-x |
0.92 |
|
| 2010 |
Sapp B, Toshev A, Taskar B. Cascaded models for articulated pose estimation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6312: 406-420. DOI: 10.1007/978-3-642-15552-9_30 |
0.92 |
|
| 2010 |
Kulesza A, Taskar B. Structured determinantal point processes Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.92 |
|
| 2010 |
Gillenwater J, Ganchev K, Graça J, Pereira F, Taskar B. Sparsity in dependency grammar induction Acl 2010 - 48th Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 194-199. |
0.92 |
|
| 2010 |
Weiss D, Sapp B, Taskar B. Sidestepping intractable inference with structured ensemble cascades Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.92 |
|
| 2010 |
Syed U, Taskar B. Semi-supervised learning with adversarially missing label information Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.92 |
|
| 2010 |
Weiss D, Taskar B. Structured prediction cascades Journal of Machine Learning Research. 9: 916-923. |
0.92 |
|
| 2010 |
Ganchev K, Graça J, Gillenwater J, Taskar B. Posterior regularization for structured latent variable models Journal of Machine Learning Research. 11: 2001-2049. |
0.92 |
|
| 2009 |
Batmanghelich N, Taskar B, Davatzikos C. A general and unifying framework for feature construction, in image-based pattern classification. Information Processing in Medical Imaging : Proceedings of the ... Conference. 21: 423-34. PMID 19694282 DOI: 10.1007/978-3-642-02498-6_35 |
0.92 |
|
| 2009 |
Cour T, Sapp B, Jordan C, Taskar B. Learning from ambiguously labeled images 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 919-926. DOI: 10.1109/CVPRW.2009.5206667 |
0.92 |
|
| 2009 |
Graça JV, Ganchev K, Taskar B. Expectation maximization and posterior constraints Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.92 |
|
| 2009 |
Lin Y, Zhu S, Lee DD, Taskar B. Learning sparse Markov network structure via ensemble-of-trees models Journal of Machine Learning Research. 5: 360-367. |
0.92 |
|
| 2009 |
Ganchev K, Gillenwater J, Taskar B. Dependency grammar induction via bitext projection constraints Acl-Ijcnlp 2009 - Joint Conf. of the 47th Annual Meeting of the Association For Computational Linguistics and 4th Int. Joint Conf. On Natural Language Processing of the Afnlp, Proceedings of the Conf.. 369-377. |
0.92 |
|
| 2008 |
Vernaza P, Taskar B, Lee DD. Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields Proceedings - Ieee International Conference On Robotics and Automation. 2750-2757. DOI: 10.1109/ROBOT.2008.4543627 |
0.92 |
|
| 2008 |
Cour T, Jordan C, Miltsakaki E, Taskar B. Movie/script: Alignment and parsing of video and text transcription Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5305: 158-171. DOI: 10.1007/978-3-540-88693-8-12 |
0.92 |
|
| 2008 |
Ganchev K, Grača JV, Blitzer J, Taskar B. Multi-view learning over structured and non-identical outputs Proceedings of the 24th Conference On Uncertainty in Artificial Intelligence, Uai 2008. 204-211. |
0.92 |
|
| 2008 |
Ganchev K, Graca̧ JV, Taskar B. Better alignments = Better translations? Acl-08: Hlt - 46th Annual Meeting of the Association For Computational Linguistics: Human Language Technologies, Proceedings of the Conference. 986-993. |
0.92 |
|
| 2007 |
Liang P, Jordan MI, Taskar B. A permutation-augmented sampler for DP mixture models Acm International Conference Proceeding Series. 227: 545-552. DOI: 10.1145/1273496.1273565 |
0.92 |
|
| 2006 |
Liang P, Bouchard-Côté A, Klein D, Taskar B. An end-to-end discriminative approach to machine translation Coling/Acl 2006 - 21st International Conference On Computational Linguistics and 44th Annual Meeting of the Association For Computational Linguistics, Proceedings of the Conference. 1: 761-768. |
0.92 |
|
| 2006 |
Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction, dual extragradient and bregman projections Journal of Machine Learning Research. 7: 1627-1653. |
0.92 |
|
| 2005 |
Anguelov D, Taskar B, Chatalbashev V, Koller D, Gupta D, Heitz G, Ng A. Discriminative learning of Markov Random fields for segmentation of 3D scan data Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 169-176. DOI: 10.1109/CVPR.2005.133 |
0.92 |
|
| 2005 |
Taskar B, Lacoste-Julien S, Jordan MI. Structured prediction via the extragradient method Advances in Neural Information Processing Systems. 1345-1352. |
0.92 |
|
| 2005 |
Taskar B, Chatalbashev V, Koller D, Guestrin C. Learning structured prediction models: A large margin approach Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 897-904. |
0.92 |
|
| 2005 |
Taskar B, Lacoste-Julien S, Klein D. A discriminative matching approach to word alignment Hlt/Emnlp 2005 - Human Language Technology Conference and Conference On Empirical Methods in Natural Language Processing, Proceedings of the Conference. 73-80. |
0.92 |
|
| 2005 |
Bartlett PL, Collins M, Taskar B, McAllester D. Exponentiated gradient algorithms for large-margin structured classification Advances in Neural Information Processing Systems. |
0.92 |
|
| 2004 |
Taskar B, Chatalbashev V, Koller D. Learning associative Markov networks Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 807-814. |
0.92 |
|
| 2004 |
Taskar B, Wong MF, Abbeel P, Koller D. Link prediction in relational data Advances in Neural Information Processing Systems. |
0.92 |
|
| 2004 |
Taskar B, Guestrin C, Koller D. Max-margin Markov networks Advances in Neural Information Processing Systems. |
0.92 |
|
| 2003 |
Taskar B, Wong MF, Koller D. Learning on the Test Data: Leveraging "Unseen" Features Proceedings, Twentieth International Conference On Machine Learning. 2: 744-751. |
0.92 |
|
| 2003 |
Getoor L, Friedman N, Koller D, Taskar B. Learning probabilistic models of link structure Journal of Machine Learning Research. 3: 679-707. |
0.92 |
|
| 2001 |
Segal E, Taskar B, Gasch A, Friedman N, Koller D. Rich probabilistic models for gene expression. Bioinformatics (Oxford, England). 17: S243-52. PMID 11473015 |
0.92 |
|
| 2001 |
Taskar B, Segal E, Koller D. Probabilistic classification and clustering in relational data Ijcai International Joint Conference On Artificial Intelligence. 870-876. |
0.92 |
|
| 2001 |
Getoor L, Taskar B, Koller D. Selectivity estimation using probabilistic models Proceedings of the Acm Sigmod International Conference On Management of Data. 461-472. |
0.92 |
|
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