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All publications by Richard S. Zemel
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Cardinality Restricted Boltzmann Machines
Kevin Swersky, Ilya Sutskever, Daniel Tarlow, Richard S. Zemel, Ruslan Salakhutdinov and Ryan P. Adams
Advances in Neural Information Processing Systems 25, 2012


Probabilistic n-Choose-k Models for Classification and Ranking
Kevin Swersky, Brendan J. Frey, Daniel Tarlow, Richard S. Zemel and Ryan P. Adams
Advances in Neural Information Processing Systems 25, 2012


Collaborative Ranking With 17 Parameters
Maksims Volkovs and Richard S. Zemel
Advances in Neural Information Processing Systems 25, 2012


Efficient Sampling for Bipartite Matching Problems
Maksims Volkovs and Richard S. Zemel
Advances in Neural Information Processing Systems 25, 2012


Active Learning for Matching Problems
Laurent Charlin, Craig Boutilier and Richard S. Zemel
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Structured Output Learning with High Order Loss Functions
Daniel Tarlow and Richard S. Zemel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Randomized Optimum Models for Structured Prediction
Daniel Tarlow, Ryan P. Adams and Richard S. Zemel
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


HOP-MAP: Efficient Message Passing with High Order Potentials
Daniel Tarlow, Inmar E. Givoni and Richard S. Zemel
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


BoltzRank: learning to maximize expected ranking gain
Maksims Volkovs and Richard S. Zemel
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Generative versus discriminative training of RBMs for classification of fMRI images
Tanya Schmah, Geoffrey E. Hinton, Steven L. Small, Stephen Strother and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008


Characterizing response behavior in multisensory perception with conflicting cues
Rama Natarajan, Iain Murray, Ladan Shams and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008


Learning Hybrid Models for Image Annotation with Partially Labeled Data
Xuming He and Richard S. Zemel
Advances in Neural Information Processing Systems 21, 2008


Combining discriminative features to infer complex trajectories
David A. Ross, Simon Osindero and Richard S. Zemel
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Learning Parts-Based Representations of Data
David A. Ross and Richard S. Zemel
Journal of Machine Learning Research, 2006


The multiple multiplicative factor model for collaborative filtering
Benjamin M. Marlin and Richard S. Zemel
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Proximity Graphs for Clustering and Manifold Learning
Richard S. Zemel and Miguel Á. Carreira-perpiñán
Advances in Neural Information Processing Systems 17, 2004


Probabilistic Computation in Spiking Populations
Richard S. Zemel, Rama Natarajan, Peter Dayan and Quentin J. Huys
Advances in Neural Information Processing Systems 17, 2004


Multiple Cause Vector Quantization
David A. Ross and Richard S. Zemel
Advances in Neural Information Processing Systems 15, 2002


Self Supervised Boosting
Max Welling, Richard S. Zemel and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 15, 2002