Ben Taskar - RankMe

67 papers A* 14A 8B 1Journal 21Unranked 22

Year	Rank	Type	Title / Venue / Authors
2017	J	`jnl`	Summarizing Unconstrained Videos Using Salient Montages. IEEE Trans. Pattern Anal. Mach. Intell. Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz
2015	A	`conf`	Efficient Second-Order Gradient Boosting for Conditional Random Fields. AISTATS Tianqi Chen, Sameer Singh, Ben Taskar, Carlos Guestrin
2014	J	`jnl`	Controlling Complexity in Part-of-Speech Induction. CoRR João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Ben Taskar
2014	J	`jnl`	Expectation-Maximization for Learning Determinantal Point Processes. CoRR Jennifer Gillenwater, Alex Kulesza, Emily B. Fox, Ben Taskar
2014	J	`jnl`	Learning the Parameters of Determinantal Point Process Kernels. CoRR Raja Hafiz Affandi, Emily B. Fox, Ryan P. Adams, Ben Taskar
2014	A*	`conf`	Non-intrusive tongue machine interface. CHI Qiao Zhang, Shyamnath Gollakota, Ben Taskar, Raj P. N. Rao
2014	A	`conf`	PAC-Bayesian Collective Stability. AISTATS Ben London, Bert Huang, Ben Taskar, Lise Getoor
2014	—	`conf`	Salient Montages from Unconstrained Videos. ECCV (7) Min Sun, Ali Farhadi, Ben Taskar, Steven M. Seitz
2014	J	`jnl`	The Swarm at the Edge of the Cloud. IEEE Des. Test Edward A. Lee, Björn Hartmann, John Kubiatowicz, Tajana Simunic Rosing, John Wawrzynek, David Wessel, Jan M. Rabaey, Kris Pister, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, David T. Blaauw, Prabal Dutta, Kevin Fu, Carlos Guestrin, Ben Taskar, Roozbeh Jafari, Douglas L. Jones, Vijay Kumar, Rahul Mangharam, George J. Pappas, Richard M. Murray, Anthony Rowe
2014	A*	`conf`	Understanding Objects in Detail with Fine-Grained Attributes. CVPR Andrea Vedaldi, Siddharth Mahendran, Stavros Tsogkas, Subhransu Maji, Ross B. Girshick, Juho Kannala, Esa Rahtu, Iasonas Kokkinos, Matthew B. Blaschko, David J. Weiss, Ben Taskar, Karen Simonyan, Naomi Saphra, Sammy Mohamed
2013	J	`jnl`	Approximate Inference in Continuous Determinantal Point Processes. CoRR Raja Hafiz Affandi, Emily B. Fox, Ben Taskar
2013	—	`conf`	Approximate Inference in Continuous Determinantal Processes. NIPS Raja Hafiz Affandi, Emily B. Fox, Ben Taskar
2013	—	`conf`	Collective Stability in Structured Prediction: Generalization from One Example. ICML (3) Ben London, Bert Huang, Ben Taskar, Lise Getoor
2013	J	`jnl`	Discriminative Probabilistic Models for Relational Data CoRR Ben Taskar, Pieter Abbeel, Daphne Koller
2013	A*	`conf`	Dynamic Structured Model Selection. ICCV David J. Weiss, Benjamin Sapp, Ben Taskar
2013	B	`conf`	Graph-Based Posterior Regularization for Semi-Supervised Structured Prediction. CoNLL Luheng He, Jennifer Gillenwater, Ben Taskar
2013	—	`conf`	Learning Adaptive Value of Information for Structured Prediction. NIPS David J. Weiss, Ben Taskar
2013	A*	`conf`	MODEC: Multimodal Decomposable Models for Human Pose Estimation. CVPR Benjamin Sapp, Ben Taskar
2013	A	`conf`	Nystrom Approximation for Large-Scale Determinantal Processes. AISTATS Raja Hafiz Affandi, Alex Kulesza, Emily B. Fox, Ben Taskar
2013	A*	`conf`	SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning. CVPR David J. Weiss, Ben Taskar
2013	—	`conf`	The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification. ICML (1) Ofir Pele, Ben Taskar, Amir Globerson, Michael Werman
2013	—	`conf`	The Tangent Earth Mover's Distance. GSI Ofir Pele, Ben Taskar
2012	J	`jnl`	Determinantal Point Processes for Machine Learning. Found. Trends Mach. Learn. Alex Kulesza, Ben Taskar
2012	J	`jnl`	Determinantal point processes for machine learning CoRR Alex Kulesza, Ben Taskar
2012	—	`conf`	Discovering Diverse and Salient Threads in Document Collections. EMNLP-CoNLL Jennifer Gillenwater, Alex Kulesza, Ben Taskar
2012	J	`jnl`	Generative-Discriminative Basis Learning for Medical Imaging. IEEE Trans. Medical Imaging Nematollah Batmanghelich, Ben Taskar, Christos Davatzikos
2012	J	`jnl`	Learning Determinantal Point Processes CoRR Alex Kulesza, Ben Taskar
2012	J	`jnl`	Mixture-of-Parents Maximum Entropy Markov Models CoRR David S. Rosenberg, Dan Klein, Ben Taskar
2012	J	`jnl`	Multi-View Learning over Structured and Non-Identical Outputs CoRR Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar
2012	—	`conf`	Near-Optimal MAP Inference for Determinantal Point Processes. NIPS Jennifer Gillenwater, Alex Kulesza, Ben Taskar
2012	J	`jnl`	Shape-Based Object Detection via Boundary Structure Segmentation. Int. J. Comput. Vis. Alexander Toshev, Ben Taskar, Kostas Daniilidis
2012	J	`jnl`	Structured Prediction Cascades CoRR David J. Weiss, Benjamin Sapp, Ben Taskar
2012	—	`conf`	Wiki-ly Supervised Part-of-Speech Tagging. EMNLP-CoNLL Shen Li, João Graça, Ben Taskar
2011	—	`conf`	Disease classification and prediction via semi-supervised dimensionality reduction. ISBI Kayhan N. Batmanghelich, Dong Hye Ye, Kilian M. Pohl, Ben Taskar, Christos Davatzikos
2011	A	`conf`	Learning Determinantal Point Processes. UAI Alex Kulesza, Ben Taskar
2011	J	`jnl`	Learning from Partial Labels. J. Mach. Learn. Res. Timothée Cour, Benjamin Sapp, Ben Taskar
2011	A*	`conf`	Parsing human motion with stretchable models. CVPR Benjamin Sapp, David J. Weiss, Ben Taskar
2011	J	`jnl`	Posterior Sparsity in Unsupervised Dependency Parsing. J. Mach. Learn. Res. Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
2011	—	`conf`	Regularized Tensor Factorization for Multi-Modality Medical Image Classification. MICCAI (3) Nematollah Batmanghelich, Aoyan Dong, Ben Taskar, Christos Davatzikos
2011	A*	`conf`	k-DPPs: Fixed-Size Determinantal Point Processes. ICML Alex Kulesza, Ben Taskar
2010	A*	`conf`	Adaptive pose priors for pictorial structures. CVPR Benjamin Sapp, Chris Jordan, Ben Taskar
2010	—	`conf`	Application of trace-norm and low-rank matrix decomposition for computational anatomy. CVPR Workshops Nematollah Batmanghelich, Ali Gooya, Stathis Kanterakis, Ben Taskar, Christos Davatzikos
2010	—	`conf`	Cascaded Models for Articulated Pose Estimation. ECCV (2) Benjamin Sapp, Alexander Toshev, Ben Taskar
2010	A*	`conf`	Detecting and parsing architecture at city scale from range data. CVPR Alexander Toshev, Philippos Mordohai, Ben Taskar
2010	J	`jnl`	Joint covariate selection and joint subspace selection for multiple classification problems. Stat. Comput. Guillaume Obozinski, Ben Taskar, Michael I. Jordan
2010	J	`jnl`	Learning Tractable Word Alignment Models with Complex Constraints. Comput. Linguistics João Graça, Kuzman Ganchev, Ben Taskar
2010	A*	`conf`	Object detection via boundary structure segmentation. CVPR Alexander Toshev, Ben Taskar, Kostas Daniilidis
2010	J	`jnl`	Posterior Regularization for Structured Latent Variable Models. J. Mach. Learn. Res. Kuzman Ganchev, João Graça, Jennifer Gillenwater, Ben Taskar
2010	—	`conf`	Semi-Supervised Learning with Adversarially Missing Label Information. NIPS Umar Syed, Ben Taskar
2010	—	`conf`	Sidestepping Intractable Inference with Structured Ensemble Cascades. NIPS David J. Weiss, Benjamin Sapp, Ben Taskar
2010	—	`conf`	Sparsity in Dependency Grammar Induction. ACL (2) Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
2010	—	`conf`	Structured Determinantal Point Processes. NIPS Alex Kulesza, Ben Taskar
2010	A*	`conf`	Talking pictures: Temporal grouping and dialog-supervised person recognition. CVPR Timothée Cour, Benjamin Sapp, Akash Nagle, Ben Taskar
2009	—	`conf`	A General and Unifying Framework for Feature Construction, in Image-Based Pattern Classification. IPMI Nematollah Batmanghelich, Ben Taskar, Christos Davatzikos
2009	—	`conf`	Dependency Grammar Induction via Bitext Projection Constraints. ACL/IJCNLP Kuzman Ganchev, Jennifer Gillenwater, Ben Taskar
2009	A	`conf`	Learning Sparse Markov Network Structure via Ensemble-of-Trees Models. AISTATS Yuanqing Lin, Shenghuo Zhu, Daniel D. Lee, Ben Taskar
2009	J	`jnl`	PostCAT - Posterior Constrained Alignment Toolkit. Prague Bull. Math. Linguistics João Graça, Kuzman Ganchev, Ben Taskar
2009	—	`conf`	Posterior vs Parameter Sparsity in Latent Variable Models. NIPS João Graça, Kuzman Ganchev, Ben Taskar, Fernando C. N. Pereira
2008	A*	`conf`	Better Alignments = Better Translations? ACL Kuzman Ganchev, João Graça, Ben Taskar
2008	—	`conf`	Movie/Script: Alignment and Parsing of Video and Text Transcription. ECCV (4) Timothée Cour, Chris Jordan, Eleni Miltsakaki, Ben Taskar
2008	A	`conf`	Multi-View Learning over Structured and Non-Identical Outputs. UAI Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar
2008	A	`conf`	Multi-View Learning over Structured and Non-Identical Outputs. UAI Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar
2008	A*	`conf`	Online, self-supervised terrain classification via discriminatively trained submodular Markov random fields. ICRA Paul Vernaza, Ben Taskar, Daniel D. Lee
2007	—	`conf`	Expectation Maximization and Posterior Constraints. NIPS João Graça, Kuzman Ganchev, Ben Taskar
2007	A	`conf`	Mixture-of-Parents Maximum Entropy Markov Models. UAI David S. Rosenberg, Dan Klein, Ben Taskar
2005	—	`—`	Learning structured prediction models : a large margin approach. Ben Taskar
2004	A*	`conf`	Max-Margin Parsing. EMNLP Ben Taskar, Dan Klein, Michael Collins, Daphne Koller, Christopher D. Manning