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Rich S. Zemel - Publications

Affiliations: 
University of Toronto, Toronto, ON, Canada 
Area:
neural coding, visual perception
Website:
http://www.cs.toronto.edu/~zemel/
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50 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2016 Zhu Y, Kiros R, Zemel R, Salakhutdinov R, Urtasun R, Torralba A, Fidler S. Aligning books and movies: Towards story-like visual explanations by watching movies and reading books Proceedings of the Ieee International Conference On Computer Vision. 11: 19-27. DOI: 10.1109/ICCV.2015.11  0.592
2014 Kiros R, Salakhutdinov R, Zemel R. Multimodal neural language models 31st International Conference On Machine Learning, Icml 2014. 3: 2012-2025.  0.572
2014 Snoek J, Swersky K, Zemel R, Adams RP. Input warping for Bayesian optimization of non-stationary functions 31st International Conference On Machine Learning, Icml 2014. 5: 3654-3662.  0.594
2014 Volkovs MN, Zemel RS. New learning methods for supervised and unsupervised preference aggregation Journal of Machine Learning Research. 15: 1135-1176.  0.741
2014 Kiros R, Zemel RS, Salakhutdinov R. A multiplicative model for learning distributed text-based attribute representations Advances in Neural Information Processing Systems. 3: 2348-2356.  0.65
2013 Volkovs MN, Zemel RS. CRF framework for supervised preference aggregation International Conference On Information and Knowledge Management, Proceedings. 89-98. DOI: 10.1145/2505515.2505713  0.71
2013 Snoek J, Adams RP, Zemel RS. A determinantal point process latent variable model for inhibition in neural spiking data Advances in Neural Information Processing Systems.  0.611
2012 Volkovs MN, Larochelle H, Zemel RS. Learning to rank by aggregating expert preferences Acm International Conference Proceeding Series. 843-851. DOI: 10.1145/2396761.2396868  0.742
2012 Volkovs MN, Zemel RS. A flexible generative model for preference aggregation Www'12 - Proceedings of the 21st Annual Conference On World Wide Web. 479-488. DOI: 10.1145/2187836.2187902  0.724
2012 Volkovs MN, Zemel RS. Efficient sampling for bipartite matching problems Advances in Neural Information Processing Systems. 2: 1313-1321.  0.687
2012 Swersky K, Tarlow D, Sutskever I, Salakhutdinov R, Zemel RS, Adams RP. Cardinality restricted boltzmann machines Advances in Neural Information Processing Systems. 4: 3293-3301.  0.704
2012 Tarlow D, Swersky K, Zemel RS, Adams RP, Frey BJ. Fast exact inference for recursive cardinality models Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, Uai 2012. 825-834.  0.625
2012 Swersky K, Tarlow D, Adams RP, Zemel RS, Frey BJ. Probabilistic n-choose-κ models for classification and ranking Advances in Neural Information Processing Systems. 4: 3050-3058.  0.617
2012 Volkovs MN, Zemel RS. Collaborative ranking with 17 parameters Advances in Neural Information Processing Systems. 3: 2294-2302.  0.694
2012 Tarlow D, Adams RP, Zemel RS. Randomized optimum models for structured prediction Journal of Machine Learning Research. 22: 1221-1229.  0.601
2011 Marlin BM, Zemel RS, Roweis ST, Slaney M. Recommender systems: Missing data and statistical model estimation Ijcai International Joint Conference On Artificial Intelligence. 2686-2691. DOI: 10.5591/978-1-57735-516-8/IJCAI11-447  0.603
2010 Schmah T, Yourganov G, Zemel RS, Hinton GE, Small SL, Strother SC. Comparing classification methods for longitudinal fMRI studies. Neural Computation. 22: 2729-62. PMID 20804386 DOI: 10.1162/Neco_A_00024  0.639
2009 Volkovs MN, Zemel RS. BoltzRank: Learning to maximize expected ranking gain Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1089-1096. DOI: 10.1145/1553374.1553513  0.739
2009 Schmah T, Hinton GE, Zemel RS, Small SL, Strother S. Generative versus discriminative training of RBMs for classification of fMRI images Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1409-1416.  0.629
2009 Volkovs MN, Zemel RS. BoltzRank: Learning to maximize expected ranking gain Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1089-1096.  0.751
2008 Natarajan R, Huys QJ, Dayan P, Zemel RS. Encoding and decoding spikes for dynamic stimuli. Neural Computation. 20: 2325-60. PMID 18386986 DOI: 10.1162/neco.2008.01-07-436  0.422
2008 Klam F, Zemel RS, Pouget A. Population coding with motion energy filters: the impact of correlations. Neural Computation. 20: 146-75. PMID 18045004 DOI: 10.1162/neco.2008.20.1.146  0.528
2008 Meeds EW, Ross DA, Zemel RS, Roweis ST. Learning stick-figure models using nonparametric Bayesian priors over trees 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587559  0.666
2007 Huys QJ, Zemel RS, Natarajan R, Dayan P. Fast population coding. Neural Computation. 19: 404-41. PMID 17206870 DOI: 10.1162/neco.2007.19.2.404  0.381
2006 Ross DA, Osindero S, Zemel RS. Combining discriminative features to infer complex trajectories Acm International Conference Proceeding Series. 148: 761-768. DOI: 10.1145/1143844.1143940  0.735
2006 He X, Zemel RS, Mnih V. Topological map learning from outdoor image sequences Journal of Field Robotics. 23: 1091-1104. DOI: 10.1002/Rob.20170  0.693
2005 Marlin BM, Roweis ST, Zemel RS. Unsupervised learning with non-ignorable missing data Aistats 2005 - Proceedings of the 10th International Workshop On Artificial Intelligence and Statistics. 222-229.  0.647
2005 Zemel RS, Huys QJM, Natarajan R, Dayan P. Probabilistic computation in spiking populations Advances in Neural Information Processing Systems.  0.349
2004 Welling M, Zemel RS, Hinton GE. Probabilistic sequential independent components analysis. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 838-49. PMID 15461077 DOI: 10.1109/Tnn.2004.828765  0.68
2003 Pouget A, Dayan P, Zemel RS. Inference and computation with population codes. Annual Review of Neuroscience. 26: 381-410. PMID 12704222 DOI: 10.1146/annurev.neuro.26.041002.131112  0.614
2003 Welling M, Zemel RS, Hinton GE. Self supervised boosting Advances in Neural Information Processing Systems.  0.588
2002 Zemel RS, Behrmann M, Mozer MC, Bavelier D. Experience-dependent perceptual grouping and object-based attention. Journal of Experimental Psychology: Human Perception and Performance. 28: 202-217. DOI: 10.1037/0096-1523.28.1.202  0.569
2002 Zemel RS, Mozer MC, Behrmann M, Bavelier D. Experience-dependent perceptual grouping and object-based attention Journal of Experimental Psychology: Human Perception and Performance. 28: 202-217. DOI: 10.1037/0096-1523.28.1.202  0.581
2001 Zemel RS, Mozer MC. Localist attractor networks. Neural Computation. 13: 1045-64. PMID 11359644 DOI: 10.1162/08997660151134325  0.586
2000 Pouget A, Dayan P, Zemel R. Information processing with population codes. Nature Reviews. Neuroscience. 1: 125-32. PMID 11252775 DOI: 10.1038/35039062  0.591
2000 Behrmann M, Zemel RS, Mozer MC. Occlusion, symmetry, and object-based attention: reply to Saiki (2000). Journal of Experimental Psychology. Human Perception and Performance. 26: 1497-505. PMID 10946727 DOI: 10.1037//0096-1523.26.4.1497  0.579
2000 Zemel RS, Pillow J. Encoding multiple orientations in a recurrent network Neurocomputing. 32: 609-616. DOI: 10.1016/S0925-2312(00)00222-8  0.562
1999 Zemel RS, Dayan P. Distributional population codes and multiple motion models Advances in Neural Information Processing Systems. 174-180.  0.369
1998 Behrmann M, Zemel RS, Mozer MC. Object-based attention and occlusion: evidence from normal participants and a computational model. Journal of Experimental Psychology. Human Perception and Performance. 24: 1011-36. PMID 9706708 DOI: 10.1037/0096-1523.24.4.1011  0.604
1998 Gray MS, Pouget A, Zemel RS, Nowlan SJ, Sejnowski TJ. Reliable disparity estimation through selective integration. Visual Neuroscience. 15: 511-28. PMID 9685204 DOI: 10.1017/S0952523898153129  0.601
1998 Zemel RS, Dayan P, Pouget A. Probabilistic interpretation of population codes. Neural Computation. 10: 403-30. PMID 9472488  0.612
1998 Zemel RS, Sejnowski TJ. A model for encoding multiple object motions and self-motion in area MST of primate visual cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 18: 531-47. PMID 9412529 DOI: 10.1523/Jneurosci.18-01-00531.1998  0.366
1998 Behrmann M, Zemel RS, Mozer MC. Object-based attention and occlusion: Evidence from normal participants and a computational model. Journal of Experimental Psychology: Human Perception and Performance. 24: 1011-1036. DOI: 10.1037/0096-1523.24.4.1011  0.586
1997 Gray MS, Pouget A, Zemel RS, Nowlan SJ, Sejnowski TJ. Selective integration: A model for disparity estimation Advances in Neural Information Processing Systems. 866-872.  0.517
1997 Zemel RS, Dayan P. Combining probabilistic population codes Ijcai International Joint Conference On Artificial Intelligence. 2: 1114-1119.  0.349
1995 Dayan P, Hinton GE, Neal RM, Zemel RS. The Helmholtz machine. Neural Computation. 7: 889-904. PMID 7584891 DOI: 10.1162/neco.1995.7.5.889  0.763
1995 Dayan P, Zemel RS. Competition and multiple cause models Neural Computation. 7: 565-579. DOI: 10.1162/Neco.1995.7.3.565  0.382
1995 Zemel RS, Williams CKI, Mozer MC. Lending direction to neural networks Neural Networks. 8: 503-512. DOI: 10.1016/0893-6080(94)00094-3  0.6
1995 Zemel RS, Hinton GE. Learning population codes by minimizing description length Neural Computation. 7: 549-564.  0.651
1992 Mozer MC, Zemel RS, Behrmann M, Williams CKI. Learning to Segment Images Using Dynamic Feature Binding Neural Computation. 4: 650-665. DOI: 10.1162/neco.1992.4.5.650  0.618
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