David McAllester

引用次数

	总计	2017 年至今
引用	34932	15403
h 指数	65	32
i10 指数	114	60

3100

1550

775

2325

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合著作者

Pedro FelzenszwalbBrown University在 brown.edu 的电子邮件经过验证
Deva RamananProfessor, Robotics Institute, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)在 eecs.berkeley.edu 的电子邮件经过验证
Yishay MansourTel Aviv University在 tauex.tau.ac.il 的电子邮件经过验证
Henry KautzProfessor of Computer Science, University of Rochester在 cs.rochester.edu 的电子邮件经过验证
Bart SelmanProfessor of Computer Science, Cornell University在 cs.cornell.edu 的电子邮件经过验证
Raquel UrtasunFounder & CEO Waabi, Professor, University of Toronto.在 cs.toronto.edu 的电子邮件经过验证
Tamir HazanAssistant Professor, Technion - Israel Institute of Technology在 technion.ac.il 的电子邮件经过验证
Hai WangPh.D, Toyota Technological Institute at Chicago在 ttic.edu 的电子邮件经过验证
Robert SchapireMicrosoft Research在 microsoft.com 的电子邮件经过验证
Peter StoneProfessor of Computer Science, The University of Texas at Austin在 cs.utexas.edu 的电子邮件经过验证
Kevin GimpelToyota Technological Institute at Chicago在 ttic.edu 的电子邮件经过验证
Koichiro YamaguchiToyota Research Institute - Advanced Development在 tri-ad.global 的电子邮件经过验证
Deepak KapurUniversity of New Mexico在 cs.unm.edu 的电子邮件经过验证
Joseph (Yossi) KeshetProfessor, Faculty of Electrical & Computer Engineering, Technion在 technion.ac.il 的电子邮件经过验证
Ramin ZabihProfessor of Computer Science, Cornell University在 cs.cornell.edu 的电子邮件经过验证
Jeffrey Mark SiskindPurdue University在 purdue.edu 的电子邮件经过验证
Michael CollinsGoogle NYC在 cs.columbia.edu 的电子邮件经过验证
Mohit BansalProfessor, Computer Science, UNC Chapel Hill在 cs.unc.edu 的电子邮件经过验证
Frédéric BenhamouProfesseur d'informatique, Université de Nantes在 univ-nantes.fr 的电子邮件经过验证

关注

David McAllester

Professor, Toyota Technological Institute at Chicago

在 ttic.edu 的电子邮件经过验证 - 首页

Artificial Intelligence Machine Learning Computer Vision Programming Languages Formal Methods


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Object detection with discriminatively trained part-based models PF Felzenszwalb, RB Girshick, D McAllester, D Ramanan IEEE transactions on pattern analysis and machine intelligence 32 (9), 1627-1645, 2010	11598	2010
Policy Gradient Methods for Reinforcement Learning with Function Approximation YM RS Sutton, D McAllester, S Singh NIPS 1999, 1999	5525*	1999
A discriminatively trained, multiscale, deformable part model P Felzenszwalb, D McAllester, D Ramanan 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	3359	2008
Cascade object detection with deformable part models PF Felzenszwalb, RB Girshick, D McAllester 2010 IEEE Computer society conference on computer vision and pattern …, 2010	1134	2010
Systematic nonlinear planning D McAllester, D Rosenblatt	891	1991
Some pac-bayesian theorems DA McAllester Machine Learning 37 (3), 355-363, 1999	619	1999
Evidence for invariants in local search D McAllester, B Selman, H Kautz AAAI/IAAI, 321-326, 1997	538	1997
CLP (Intervals) Revisited. F Benhamou, DA McAllester, P Van Hentenryck ILPS 94, 1-21, 1994	475	1994
Encoding plans in propositional logic H Kautz, D McAllester, B Selman KR 96, 374-384, 1996	452	1996
PAC-Bayesian model averaging DA McAllester Proceedings of the twelfth annual conference on Computational learning …, 1999	423	1999
Efficient joint segmentation, occlusion labeling, stereo and flow estimation K Yamaguchi, D McAllester, R Urtasun European Conference on Computer Vision, 756-771, 2014	404	2014
Solving polynomial systems using a branch and prune approach P Van Hentenryck, D McAllester, D Kapur SIAM Journal on Numerical Analysis 34 (2), 797-827, 1997	393	1997
An indexed model of recursive types for foundational proof-carrying code AW Appel, D McAllester ACM Transactions on Programming Languages and Systems (TOPLAS) 23 (5), 657-683, 2001	383	2001
PAC generalization bounds for co-training S Dasgupta, M Littman, D McAllester Advances in neural information processing systems 14, 2001	383	2001
Object detection with grammar models R Girshick, P Felzenszwalb, D McAllester Advances in neural information processing systems 24, 2011	318	2011
An outlook on truth maintenance DA McAllester	289	1980
PAC-Bayesian stochastic model selection DA McAllester Machine Learning 51 (1), 5-21, 2003	260	2003
Computational challenges in propositional reasoning and search B Selman, H Kautz, D McAllester Proceedings of the Fifteenth International Joint Conference on Artificial …, 1997	256	1997
Discriminatively trained deformable part models, release 4 PF Felzenszwalb http://people. cs. uchicago. edu/pff/latent-release4/, 2010	223	2010
Conspiracy numbers for min-max search DA McAllester Artificial Intelligence 35 (3), 287-310, 1988	220	1988

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