Thomas Hofmann

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Aurelien LucchiAssistant Professor, Department of Mathematics and Computer Science, University of BaselVerified email at inf.ethz.ch
Joachim M. BuhmannETH ZurichVerified email at inf.ethz.ch
Yasemin AltunGoogle ResearchVerified email at google.com
Ioannis TsochantaridisGoogle DeepMindVerified email at google.com
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Alex SmolaBoson AIVerified email at smola.org
Octavian GaneaMIT, CSAILVerified email at csail.mit.edu
Hadi DaneshmandAssistant Professor of Computer Science at University of VirginiaVerified email at virginia.edu
Thorsten JoachimsProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Yannic KilcherPhD Student, ETH ZurichVerified email at inf.ethz.ch
Kevin RothETH ZurichVerified email at inf.ethz.ch
Martin JaggiEPFLVerified email at epfl.ch
Jonas KohlerETH ZürichVerified email at inf.ethz.ch
Janis FluriPostdoc, GW-learn CollaborationVerified email at inf.ethz.ch
Sebastian NowozinGoogle DeepMindVerified email at deepmind.com
Christoph H. LampertInstitute of Science and Technology Austria (ISTA)Verified email at ist.ac.at
Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
Carsten EickhoffProfessor, University of TübingenVerified email at uni-tuebingen.de
Gary Bécigneul, PhDVerified email at beci.me
Massimiliano CiaramitaGoogle DeepMindVerified email at google.com

Thomas Hofmann

Professor of Computer Science, ETH Zurich

Verified email at inf.ethz.ch - Homepage

Machine Learning Machine Intelligence Natural Language Understanding


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Probabilistic latent semantic indexing T Hofmann Proceedings of the 22nd annual international ACM SIGIR conference on …, 1999	8092	1999
Unsupervised learning by probabilistic latent semantic analysis T Hofmann Machine learning 42, 177-196, 2001	3616	2001
Probabilistic latent semantic analysis. T Hofmann UAI 99, 289-296, 1999	3526	1999
Kernel methods in machine learning T Hofmann, B Schölkopf, AJ Smola	3013	2008
Large margin methods for structured and interdependent output variables. I Tsochantaridis, T Joachims, T Hofmann, Y Altun, Y Singer Journal of machine learning research 6 (9), 2005	2739	2005
Support vector machines for multiple-instance learning S Andrews, I Tsochantaridis, T Hofmann Advances in neural information processing systems 15, 2002	2116	2002
Latent semantic models for collaborative filtering T Hofmann ACM Transactions on Information Systems (TOIS) 22 (1), 89-115, 2004	2012	2004
Support vector machine learning for interdependent and structured output spaces I Tsochantaridis, T Hofmann, T Joachims, Y Altun Proceedings of the twenty-first international conference on Machine learning …, 2004	1812	2004
Beyond sliding windows: Object localization by efficient subwindow search CH Lampert, MB Blaschko, T Hofmann 2008 IEEE conference on computer vision and pattern recognition, 1-8, 2008	1040	2008
Latent class models for collaborative filtering T Hofmann, J Puzicha IJCAI 99 (1999), 1999	739	1999
Hidden markov support vector machines Y Altun, I Tsochantaridis, T Hofmann Proceedings of the 20th international conference on machine learning (ICML …, 2003	692	2003
System and method for personalized search, information filtering, and for generating recommendations utilizing statistical latent class models T Hofmann, JC Puzicha US Patent 6,687,696, 2004	684	2004
Hyperbolic neural networks O Ganea, G Bécigneul, T Hofmann Advances in neural information processing systems 31, 2018	674	2018
The missing link-a probabilistic model of document content and hypertext connectivity D Cohn, T Hofmann Advances in neural information processing systems 13, 2000	648	2000
Collaborative filtering via gaussian probabilistic latent semantic analysis T Hofmann Proceedings of the 26th annual international ACM SIGIR conference on …, 2003	632	2003
Pairwise data clustering by deterministic annealing T Hofmann, JM Buhmann Ieee transactions on pattern analysis and machine intelligence 19 (1), 1-14, 1997	617	1997
Unifying collaborative and content-based filtering J Basilico, T Hofmann Proceedings of the twenty-first international conference on Machine learning, 9, 2004	570	2004
Stabilizing Training of Generative Adversarial Networks through Regularization K Roth, A Lucchi, T Nowozin, S.: Hofmann NIPS, 2017	542	2017
Hierarchical document categorization with support vector machines L Cai, T Hofmann Proceedings of the thirteenth ACM international conference on Information …, 2004	527	2004
Fully character-level neural machine translation without explicit segmentation J Lee, K Cho, T Hofmann Transactions of the Association for Computational Linguistics 5, 365-378, 2017	517	2017

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