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Selected Papers |
| 2012 | Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, Richard Zemel. "Fairness through awareness." Proceedings of Innovations of Theoretical Computer Science. [pdf] |
| 2012 | Daniel Tarlow, Ryan Adams, and Richard Zemel. "Randomized optimum models for structured prediction." AIStats-2012: Fifteenth International Conference on Artificial Intelligence and Statistics. [pdf] |
| 2012 | Daniel Tarlow and Richard Zemel. "Structured output learning with high order loss functoins." AIStats-2012: Fifteenth International Conference on Artificial Intelligence and Statistics. [pdf] |
| 2012 | Maksims Volkovs and Richard Zemel. "A flexible generative model for preference aggregation." WWW 2012: 21st International World Wide Web Conference. [pdf] |
| 2011 | Benjamin Marlin, Richard Zemel, Sam Roweis, & Malcolm Slaney. "Recommender systems: Missing data and statistical model estimation." IJCAI: 22nd International Joint Conference on Artificial Intelligence. [pdf] |
| 2011 | Laurent Charlin, Richard Zemel, & Craig Boutilier. "A framework for optimizing paper matching." UAI 2011: 27th Conference on Uncertainty in Artificial Intelligence. [pdf] |
| 2011 | Daniel Tarlow, Inmar Givoni, Richard Zemel, & Brendan Frey. "Graph cuts is a max-product algorithm." UAI 2011: 27th Conference on Uncertainty in Artificial Intelligence. [pdf] |
| 2011 | Rama Natarajan and Richard Zemel. "Dynamic cue combination in distributional population code networks." Sensory Cue Integration, Oxford University Press. Julia Trommersheuser, Konrad Kording, and Michael S. Landy (Eds.). [pdf] |
| 2010 | David Ross, Daniel Tarlow, and Richard Zemel. "Learning articulated structure and motion." International Journal on Computer Vision. 88(2):214-237. [pdf, video, web page] |
| 2010 | Daniel Tarlow, Inmar Givoni, and Richard Zemel. "HOP-MAP: Efficient message-passing with Higher-Order Potentials." AISTATS-2010: The 13th International Conference on Artificial Intelligence and Statistics. [pdf, code, poster] |
| 2009 | Ben Marlin and Richard Zemel. "Collaborative prediction and ranking with non-random missing data." Recsys-2009: ACM Conference on Recommender Systems. (Best technical paper). [pdf] |
| 2009 | Maksims Volkovs and Richard Zemel. "BoltzRank: Learning to maximize expected ranking gain." ICML-2009: International Conference on Machine Learning. (Best student paper). [pdf] |
| 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] |
| 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. (preprint). [pdf] |
| 2008 | Francois Klam, Richard Zemel, and Alex Pouget. "Population coding with motion energy filters: The impact of correlations." Neural Computation. 20(1): 146-175. (reprint). [pdf] |
| 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. (reprint). [pdf] |
| 2006 | Xuming He, Richard Zemel, and Volodymyr Mnih. "Topological map learning from outdoor image sequences." Journal of Field Robotics.. 23:1091-1104. (preprint). [pdf] |
| 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, web page] |
| 2006 | David Ross and Richard Zemel. "Learning parts-based representations of data." Journal of Machine Learning Research. 7(Nov): 2369-2397. (preprint). [pdf, web page] |
| 2005 | Ben Marlin, Sam Roweis, and Richard Zemel. "Unsupervised learning with non-ignorable missing data." AISTATS. [pdf] |
| 2005 | Ben Marlin, Sam Roweis, and Richard Zemel. "Unsupervised learning with non-ignorable missing data." AISTATS-2005. |
| 2004 | Miguel Carreira-Perpinan and Richard Zemel. "Proximity graphs for clustering and manifold learning." NIPS-17: Advances in Neural Information Processing Systems 17. |
| 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. (8 pages). [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. (8 pages). [pdf] |
| 2004 | Miguel Carreira-Perpinan and Richard Zemel. "Proximity graphs for clustering and manifold learning." NIPS-17: Advances in Neural Information Processing Systems 17. (8 pages). [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. (8 pages). [pdf, ps.gz] |
| 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. (9 pages). [pdf, ps.gz] |
| 2003 | Max Welling, Richard Zemel, and Geoffrey Hinton. "Efficient parametric projection pursuit density estimation." UAI-2003: 19th Conference on Uncertainty in Artificial Intelligence. (8 pages). [ps.gz] |
| 2003 | Alex Pouget, Peter Dayan and Richard Zemel. "Computation and inference with population codes." UAI-2003: 19th Conference on Uncertainty in Artificial Intelligence. pp. 381-410. (33 pages). [pdf] |
| 2002 | David Ross and Richard Zemel. "Multiple-cause vector quantization." NIPS-15: Advances in Neural Information Processing Systems 15. (8 pages). [pdf, ps.gz] |
| 2002 | Max Welling, Richard Zemel, and Geoffrey Hinton. "Self supervised boosting." NIPS-15: Advances in Neural Information Processing Systems 15. (8 pages). [pdf, ps.gz] |
| 2002 | Craig Boutilier and Richard Zemel. "Online queries for collaborative filtering." Ninth International Workshop on Artificial Intelligence and Statistics. (8 pages). [pdf, ps.gz] |
| 2002 | Richard Zemel and Michael Mozer. "Localist attractor networks." Neural Computation. 13(5): 1045-1064. (20 pages). [pdf, ps.gz] |
| 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. (16 pages). [pdf, ps.gz] |
| 2001 | Richard Zemel and Toni Pitassi. "A gradient-based boosting algorithm for regression problems." NIPS-13: Advances in Neural Information Processing Systems 13. (7 pages). [ps.gz] |
| 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): pp. 1497-1505. |
| 2000 | Zhiyong Yang and Richard Zemel. "Managing uncertainty in cue combination." NIPS-12: Advances in Neural Information Processing Systems 12. pp. 80-86. (7 pages). [ps.gz] |
| 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. pp. 125-132. (8 pages). [pdf] |
| 2000 | Richard Zemel. "Cortical belief networks." R. Hecht-Neilsen (Ed.): Theories of the Cerebral Cortex. (16 pages). [ps.gz] |
| 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. [ps.gz] |
| 1998 | Richard Zemel, Peter Dayan, and Alex Pouget. "Probabilistic interpretation of population codes." Neural Computation. 10(2), pp. 403-430. 28 pages. [pdf, ps.gz] |
| 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. (6 pages). [ps.gz] |
| 1997 | Peter Dayan and Richard Zemel. "Competition and multiple cause models." Neural Computation. 7(3), pp. 565-579. (15 pages). [ps.gz] |
| 1997 | Geoffrey Hinton and Richard Zemel. "Minimizing description length in an unsupervised neural network." Geoffrey Hinton and Richard Zemel. [ps.gz] |
| 1995 | Peter Dayan, Geoffrey Hinton, Radford Neal, and Richard Zemel. "The Helmholtz Machine." Neural Computation. 7(5), pp. 889-904. pp. 889-905. |
| 1995 | Richard Zemel, Chris Williams, and Michael Mozer. "Lending direction to neural networks." Neural Networks. 8(4), pp. 503-512. pp. 503-512. (20 pages). [ps.gz] |
| 1995 | Richard Zemel and Geoffrey Hinton. "Developing population codes by minimizing description length." Neural Computation. 7(3), pp. 549-564. pp. 549-564. (14 pages). [ps.gz] |
| 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. [ps.gz, ps.gz, ps.gz] |
| 1992 | Michael Mozer, Richard Zemel, Marlene Behrmann, and Chris Williams. "Learning to segment images using dynamic feature binding." Neural Computation. 4(5), pp. 647-663. |