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Thomas Hofmann
Thomas Hofmann
Professor of Computer Science, ETH Zurich
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Probabilistic latent semantic indexing
T Hofmann
Proceedings of the 22nd annual international ACM SIGIR conference on …, 1999
109201999
Unsupervised learning by probabilistic latent semantic analysis
T Hofmann
Machine learning 42, 177-196, 2001
35092001
Kernel methods in machine learning
T Hofmann, B Schölkopf, AJ Smola
27752008
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
27072005
Support vector machines for multiple-instance learning
S Andrews, I Tsochantaridis, T Hofmann
Advances in neural information processing systems 15, 2002
20552002
Latent semantic models for collaborative filtering
T Hofmann
ACM Transactions on Information Systems (TOIS) 22 (1), 89-115, 2004
19782004
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
17992004
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
10282008
Latent class models for collaborative filtering
T Hofmann, J Puzicha
IJCAI 99 (1999), 1999
7371999
Hidden Markov support vector machines
Y Altun, I Tsochantaridis, T Hofmann
Proceedings of the 20th international conference on machine learning (ICML …, 2003
6872003
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
6612004
The missing link-a probabilistic model of document content and hypertext connectivity
D Cohn, T Hofmann
Advances in neural information processing systems 13, 2000
6432000
Collaborative filtering via gaussian probabilistic latent semantic analysis
T Hofmann
Proceedings of the 26th annual international ACM SIGIR conference on …, 2003
6252003
Pairwise data clustering by deterministic annealing
T Hofmann, JM Buhmann
Ieee transactions on pattern analysis and machine intelligence 19 (1), 1-14, 1997
6131997
Unifying collaborative and content-based filtering
J Basilico, T Hofmann
Proceedings of the twenty-first international conference on Machine learning, 9, 2004
5482004
Hyperbolic neural networks
O Ganea, G Bécigneul, T Hofmann
Advances in neural information processing systems 31, 2018
5392018
Hierarchical document categorization with support vector machines
L Cai, T Hofmann
Proceedings of the thirteenth ACM international conference on Information …, 2004
5162004
Efficient subwindow search: A branch and bound framework for object localization
CH Lampert, MB Blaschko, T Hofmann
IEEE transactions on pattern analysis and machine intelligence 31 (12), 2129 …, 2009
5032009
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
4892017
Stabilizing Training of Generative Adversarial Networks through Regularization
K Roth, A Lucchi, T Nowozin, S.: Hofmann
NIPS, 2017
4892017
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