2008	Rama Natarajan, Iain Murray, Ladan Shams, and Richard Zemel. "Characterizing response behavior in multi-sensory perception with conflicting cues". NIPS-2008: Advances in Neural Information Processing Systems. [pdf]
2008	Xuming He and Richard Zemel. "Learning hybrid models for image annotation with partially labeled data." NIPS-2008: Advances in Neural Information Processing Systems. pdf]
2008	Tanya Schmah, Geoffrey Hinton, Richard Zemel, Steven Small and Stephen Strother. "Generative versus discriminative training of RBMs for classification of fMRI images." NIPS-2008: Advances in Neural Information Processing Systems. [pdf]
2008	David Ross, Daniel Tarlow, and Richard Zemel. "Unsupervised learning of skeletons from motion." ECCV-2008: European Conference on Computer Vision. [pdf]
2008	Daniel Tarlow, Richard Zemel, and Brendan Frey. "Flexible priors for exemplar-based clustering." UAI-2008: The 24th Conference on Uncertainty in Artificial Intelligence. [pdf]
2008	Xuming He and Richard Zemel. "Latent topic random fields: Learning using a taxonomy of labels." CVPR-2008: IEEE Conference on Computer Vision and Pattern Recognition. [pdf]
2008	Ted Meeds, David Ross, Richard Zemel, and Sam Roweis. "Learning stick-figure models using nonparametric Bayesian priors over trees." CVPR-2008: IEEE Conference on Computer Vision and Pattern Recognition. [pdf]
2008	Rama Natarajan, Quentin Huys, Peter Dayan, and Richard Zemel. "Encoding and decoding spikes for dynamic stimuli." Neural Computation, 20(9): 2325-2360. [pdf (reprint)]
2008	Francois Klam, Richard Zemel, and Alex Pouget. "Population coding with motion energy filters: The impact of correlations." Neural Computation , 20(1): 146-175. [pdf (reprint)]
2008	Liam Stewart, Xuming He, and Richard Zemel. "Learning flexible features for conditional random fields." IEEE Transactions on Pattern Analysis and Machine Intelligence, 30(8): 1415-1426. [pdf (preprint)]
2007	Ben Marlin, Richard Zemel, Sam Roweis and Malcolm Slaney. "Collaborative filtering and the missing at random assumption." UAI-2007: The 23rd Conference on Uncertainty in Artificial Intelligence. [pdf]
2007	David Ross, Daniel Tarlow and Richard Zemel. "Learning articulated skeletons from motion." Workshop on Dynamical Vision at ICCV-2007. [pdf]
2007	Quentin Huys, Richard Zemel, Rama Natarajan, and Peter Dayan. "Fast population coding." Neural Computation , 19(2): 460-97. [pdf (reprint)]
2006	Xuming He, Richard Zemel, and Volodymyr Mnih. "Topological map learning from outdoor image sequences." Journal of Field Robotics, 23:1091-1104. [pdf (preprint)]
2006	Xuming He, Richard Zemel, and Deb Ray. "Learning and incorporating top-down cues in image segmentation." ECCV-2006: 9th European Conference on Computer Vision. [pdf]
2006	Jasper Snoek, Jesse Hoey, Liam Stewart, and Richard Zemel. "Automated detection of unusual events on stairs." Computer and Robot Vision 2006. [pdf]
2006	David Ross, Simon Osindero, and Richard Zemel. "Combining discriminative features to infer complex trajectories." ICML-2006: Twenty-Third International Conference on Machine Learning. [pdf] See the project website for code and details.
2006	David Ross and Richard Zemel. "Learning parts-based representations of data." Journal of Machine Learning Research, 7(Nov): 2369-2397. [pdf (preprint)] See the project website for code and details.
2005	Ben Marlin, Sam Roweis, and Richard Zemel. "Unsupervised learning with non-ignorable missing data." AISTATS-2005. [pdf]
2004	Richard Zemel, Quentin Huys, Rama Natarajan, and Peter Dayan. "Probabilistic computation in spiking populations." NIPS-17: Advances in Neural Information Processing Systems 17. [pdf]
2004	Miguel Carreira-Perpinan and Richard Zemel. "Proximity graphs for clustering and manifold learning." NIPS-17: Advances in Neural Information Processing Systems 17. [pdf
2004	Ben Marlin and Richard Zemel. "The multiple multiplicative factor model for collaborative filtering." ICML-2004: Proceedings of the 21st International Conference on Machine Learning. [pdf]
2004	Xuming He, Richard Zemel, and Miguel Carreira-Perpinan. "Multiscale conditional random fields for image labelling." CVPR-2004: IEEE Conference on Computer Vision and Pattern Recognition. [gzipped postscript; pdf]
2004	Max Welling, Richard Zemel, and Geoffrey Hinton. "Probabilistic sequential independent components analysis." IEEE Transactions in Neural Networks , Special Issue on Information Theory. 15(4): 838-849. [pdf]
2003	Craig Boutilier, Richard Zemel, and Benjamin Marlin. "Active collaborative filtering." UAI-2003: 19th Conference on Uncertainty in Artificial Intelligence. [gzipped postscript; pdf]
2003	Max Welling, Richard Zemel, and Geoffrey Hinton. "Efficient parametric projection pursuit density estimation." UAI-2003: 19th Conference on Uncertainty in Artificial Intelligence. [gzipped postscript]
2003	Alex Pouget, Peter Dayan and Richard Zemel. "Computation and inference with population codes." Annual Reviews of Neuroscience, 1: 381-410. [pdf]
2002	David Ross and Richard Zemel. "Multiple-cause vector quantization." NIPS-15: Advances in Neural Information Processing Systems 15. [gzipped postscript; pdf]
2002	Max Welling, Richard Zemel, and Geoffrey Hinton. "Self supervised boosting." NIPS-15: Advances in Neural Information Processing Systems 15. [gzipped postscript; pdf]
2002	Craig Boutilier and Richard Zemel. "Online queries for collaborative filtering." Ninth International Workshop on Artificial Intelligence and Statistics . [gzipped postscript; pdf]
2002	Richard Zemel and Michael Mozer. "Localist attractor networks." Neural Computation, 13(5): 1045-1064. (pdf; gzipped postscript]
2002	Richard Zemel, Marlene Behrmann, Michael Mozer, and Daphne Bevalier. "Experience-dependent perceptual grouping and object-based attention." Journal of Experimental Psychology: Human Perception and Performance, 28(1): 202-217. [gzipped postscript; [pdf]
2001	Richard Zemel and Toni Pitassi. "A gradient-based boosting algorithm for regression problems." NIPS-13: Advances in Neural Information Processing Systems 13. [gzipped postscript]
2000	Marlene Behrmann, Richard Zemel, and Michael Mozer. "Occlusion, symmetry, and object-based attention: Reply to Saiki." Journal of Experimental Psychology: Human Perception and Performance, 26(4): 1497-1505.
2000	Zhiyong Yang and Richard Zemel. "Managing uncertainty in cue combination." NIPS-12: Advances in Neural Information Processing Systems 12. [gzipped postscript]
2000	Richard Zemel and Jon Pillow. "Encoding multiple orientations in a recurrent network." Neurocomputing, 32-33: 609-616. [pdf]
2000	Alex Pouget, Peter Dayan and Richard Zemel. "Information processing with population codes." Nature Reviews Neuroscience, 1: 125-132. [pdf]
2000	Richard Zemel. "Cortical belief networks." R. Hecht-Neilsen (Ed.): Theories of the Cerebral Cortex. [gzipped postscript]
1999	Richard Zemel and Peter Dayan. "Distributional population codes and multiple motion models." NIPS-11: Advances in Neural Information Processing Systems 11, pp. 174-180. [gzipped postscript]
1998	Richard Zemel, Peter Dayan, and Alex Pouget. "Probabilistic interpretation of population codes." Neural Computation, 10(2), pp. 403-430. (pdf; gzipped postscript]
1998	Richard Zemel and Terry Sejnowski. "A model for encoding multiple object motions and self-motion in area MST of primate visual cortex." The Journal of Neuroscience, 18(1), pp. 531-547. [pdf]
1998	Marlene Behrmann, Richard Zemel, and Michael Mozer. "Object-based attention and occlusion: Evidence from normal subjects and a computational model." Journal of Experimental Psychology: Human Perception and Performance, 24(4), pp. 1011-1036.
1997	Richard Zemel and Peter Dayan. "Combining probabilistic population codes." International Joint Conference on Artificial Intelligence 1997. [gzipped postscript]
1997	Geoffrey Hinton and Richard Zemel. "Minimizing description length in an unsupervised neural network." [gzipped postscript]
1995	Peter Dayan and Richard Zemel. "Competition and multiple cause models." Neural Computation, 7(3), pp. 565-579. [gzipped postscript]
1995	Peter Dayan, Geoffrey Hinton, Radford Neal, and Richard Zemel. . "The Helmholtz Machine." Neural Computation, 7(5), pp. 889-904.
1995	Richard Zemel, Chris Williams, and Michael Mozer. "Lending direction to neural networks." Neural Networks, 8(4), pp. 503-512. [gzipped postscript]
1995	Richard Zemel and Geoffrey Hinton. "Developing population codes by minimizing description length." Neural Computation, 7(3), pp. 549-564. [gzipped postscript]
1994	Richard Zemel. "A Minimum Description Length Framework for Unsupervised Learning." Ph.D. Thesis. Technical Report CRG-TR-93-2, University of Toronto: In 3 separate sections: [gzipped postscript1, gzipped postscript2, gzipped postscript3]
1992	Michael Mozer, Richard Zemel, Marlene Behrmann, and Chris Williams. Learning to segment images using dynamic feature binding. Neural Computation, 4(5): 647-662.