David McAllester

引用次数

	总计	2017 年至今
引用	34068	14374
h 指数	66	31
i10 指数	114	59

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 RamananAssociate Professor, 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, Dept. of Computer Science, Bar-Ilan University在 cs.biu.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

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, 2009	11404	2009
Policy Gradient Methods for Reinforcement Learning with Function Approximation YM RS Sutton, D McAllester, S Singh NIPS 1999, 1999	5101*	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	3248	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	1105	2010
Systematic nonlinear planning D McAllester, D Rosenblatt	882	1991
Some pac-bayesian theorems DA McAllester Machine Learning 37 (3), 355-363, 1999	587	1999
Evidence for invariants in local search D McAllester, B Selman, H Kautz AAAI/IAAI, 321-326, 1997	535	1997
CLP (Intervals) Revisited. F Benhamou, DA McAllester, P Van Hentenryck ILPS 94, 1-21, 1994	474	1994
Encoding plans in propositional logic H Kautz, D McAllester, B Selman KR 96, 374-384, 1996	443	1996
PAC-Bayesian model averaging DA McAllester Proceedings of the twelfth annual conference on Computational learning …, 1999	398	1999
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	386	1997
PAC generalization bounds for co-training S Dasgupta, ML Littman, D McAllester Advances in neural information processing systems 1, 375-382, 2002	384	2002
Efficient joint segmentation, occlusion labeling, stereo and flow estimation K Yamaguchi, D McAllester, R Urtasun European Conference on Computer Vision, 756-771, 2014	383	2014
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	373	2001
Object detection with grammar models R Girshick, P Felzenszwalb, D McAllester Advances in Neural Information Processing Systems 24, 442-450, 2011	313	2011
An outlook on truth maintenance DA McAllester	293	1980
PAC-Bayesian stochastic model selection DA McAllester Machine Learning 51 (1), 5-21, 2003	261	2003
Computational challenges in propositional reasoning and search B Selman, H Kautz, D McAllester Proceedings of the Fifteenth International Joint Conference on Artificial …, 1997	251	1997
Discriminatively trained deformable part models, release 4 PF Felzenszwalb http://people. cs. uchicago. edu/pff/latent-release4/, 2010	228	2010
Conspiracy numbers for min-max search DA McAllester Artificial Intelligence 35 (3), 287-310, 1988	218	1988

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