Ruslan Salakhutdinov - Publications

Affiliations: 
University of Toronto, Toronto, ON, Canada 
Area:
computer vision

56 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  0.6
2015 Lake BM, Salakhutdinov R, Tenenbaum JB. Human-level concept learning through probabilistic program induction. Science (New York, N.Y.). 350: 1332-8. PMID 26659050 DOI: 10.1126/science.aab3050  1
2015 Salakhutdinov R. Learning Deep Generative Models Annual Review of Statistics and Its Application. 2: 361-385. DOI: 10.1146/annurev-statistics-010814-020120  1
2015 Burda Y, Grosse RB, Salakhutdinov R. Accurate and conservative estimates of MRF log-likelihood using reverse annealing Journal of Machine Learning Research. 38: 102-110.  1
2014 Hjelm RD, Calhoun VD, Salakhutdinov R, Allen EA, Adali T, Plis SM. Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks. Neuroimage. 96: 245-60. PMID 24680869 DOI: 10.1016/j.neuroimage.2014.03.048  1
2014 Srivastava N, Salakhutdinov R. Multimodal learning with Deep Boltzmann Machines Journal of Machine Learning Research. 15: 2949-2980.  1
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.  1
2014 Kiros R, Salakhutdinov R, Zemel R. Multimodal neural language models 31st International Conference On Machine Learning, Icml 2014. 3: 2012-2025.  1
2014 Tang Y, Srivastava N, Salakhutdinov R. Learning generative models with visual attention Advances in Neural Information Processing Systems. 2: 1808-1816.  1
2014 Srivastava N, Hinton G, Krizhevsky A, Sutskever I, Salakhutdinov R. Dropout: A simple way to prevent neural networks from overfitting Journal of Machine Learning Research. 15: 1929-1958.  1
2013 Salakhutdinov R, Tenenbaum JB, Torralba A. Learning with hierarchical-deep models. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1958-71. PMID 23787346 DOI: 10.1109/TPAMI.2012.269  1
2013 Srivastava N, Salakhutdinov R, Hinton G. Modeling documents with a Deep Boltzmann Machine Uncertainty in Artificial Intelligence - Proceedings of the 29th Conference, Uai 2013. 616-624.  1
2013 Srivastava N, Salakhutdinov R. Discriminative transfer learning with tree-based priors Advances in Neural Information Processing Systems 1
2013 Tang Y, Salakhutdinov R, Hinton G. Tensor analyzers 30th International Conference On Machine Learning, Icml 2013. 1200-1208.  1
2013 Lake BM, Salakhutdinov R, Tenenbaum JB. One-shot learning by inverting a compositional causal process Advances in Neural Information Processing Systems 1
2013 Neyshabur B, Yadollahpour P, Makarychev Y, Salakhutdinov R, Srebro N. The power of asymmetry in binary hashing Advances in Neural Information Processing Systems 1
2013 Grosse R, Maddison CJ, Salakhutdinov R. Annealing between distributions by averaging moments Advances in Neural Information Processing Systems 1
2013 Tang Y, Salakhutdinov R. Learning stochastic feedforward neural networks Advances in Neural Information Processing Systems 1
2012 Salakhutdinov R, Hinton G. An efficient learning procedure for deep Boltzmann machines. Neural Computation. 24: 1967-2006. PMID 22509963 DOI: 10.1162/NECO_a_00311  1
2012 Zhang Y, Salakhutdinov R, Chang HA, Glass J. Resource configurable spoken query detection using deep boltzmann machines Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 5161-5164. DOI: 10.1109/ICASSP.2012.6289082  1
2012 Tang Y, Salakhutdinov R, Hinton G. Robust Boltzmann Machines for recognition and denoising Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2264-2271. DOI: 10.1109/CVPR.2012.6247936  1
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.  1
2012 Norouzi M, Fleet DJ, Salakhutdinov R. Hamming distance metric learning Advances in Neural Information Processing Systems. 2: 1061-1069.  1
2012 Foygel R, Srebro N, Salakhutdinov R. Matrix reconstruction with the local max norm Advances in Neural Information Processing Systems. 2: 936-943.  1
2012 Salakhutdinov R, Hinton G. A better way to pretrain Deep Boltzmann Machines Advances in Neural Information Processing Systems. 3: 2447-2455.  1
2012 Grosse RB, Salakhutdinov R, Freeman WT, Tenenbaum JB. Exploiting compositionality to explore a large space of model structures Uncertainty in Artificial Intelligence - Proceedings of the 28th Conference, Uai 2012. 306-315.  1
2012 Tang Y, Salakhutdinov R, Hinton G. Deep Lambertian networks Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1623-1630.  1
2012 Tang Y, Salakhutdinov R, Hinton G. Deep mixtures of factor analysers Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 505-512.  1
2012 Foster D, Kakade S, Salakhutdinov R. Domain adaptation: A small sample statistical approach Journal of Machine Learning Research. 22: 960-968.  1
2011 Hinton G, Salakhutdinov R. Discovering binary codes for documents by learning deep generative models. Topics in Cognitive Science. 3: 74-91. PMID 25164175 DOI: 10.1111/j.1756-8765.2010.01109.x  1
2011 Salakhutdinov R, Torralba A, Tenenbaum J. Learning to share visual appearance for multiclass object detection Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1481-1488. DOI: 10.1109/CVPR.2011.5995720  1
2011 Foygel R, Salakhutdinov R, Shamir O, Srebro N. Learning with the weighted trace-norm under arbitrary sampling distributions Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2011 Salakhutdinov R, Tenenbaum JB, Torralba A. Learning to learn with compound HD models Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2011 Lim JJ, Salakhutdinov R, Torralba A. Transfer learning by borrowing examples for multiclass object detection Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
2010 Salakhutdinov R, Larochelle H. Efficient learning of Deep Boltzmann Machines Journal of Machine Learning Research. 9: 693-700.  1
2010 Lee J, Recht B, Salakhutdinov R, Srebro N, Tropp JA. Practical large-scale optimization for max-norm regularization Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Salakhutdinov R, Srebro N. Collaborative filtering in a non-uniform world: Learning with the weighted trace norm Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010 1
2010 Salakhutdinov R. Learning Deep Boltzmann Machines using adaptive MCMC Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 943-950.  1
2009 Wallach HM, Murray I, Salakhutdinov R, Mimno D. Evaluation methods for topic models Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1105-1112. DOI: 10.1145/1553374.1553515  1
2009 Langford J, Salakhutdinov R, Zhang T. Learning nonlinear dynamic models Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 593-600. DOI: 10.1145/1553374.1553451  1
2009 Salakhutdinov R, Hinton G. Semantic hashing International Journal of Approximate Reasoning. 50: 969-978. DOI: 10.1016/j.ijar.2008.11.006  1
2009 Wallach HM, Murray I, Salakhutdinov R, Mimno D. Evaluation methods for topic models Proceedings of the 26th International Conference On Machine Learning, Icml 2009. 1105-1112.  1
2009 Sutskever I, Salakhutdinov R, Tenenbaum JB. Modelling relational data using Bayesian clustered tensor factorization Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1821-1828.  1
2009 Salakhutdinov R, Hinton G. Deep Boltzmann machines Journal of Machine Learning Research. 5: 448-455.  1
2009 Salakhutdinov R, Hinton G. Replicated softmax: An undirected topic model Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1607-1614.  1
2009 Salakhutdinov R, Mnih A. Probabilistic matrix factorization Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Salakhutdinov R. Learning in Markov random fields using tempered transitions Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1598-1606.  1
2009 Salakhutdinov R, Hinton G. Using deep belief nets to learn covariance kernels for Gaussian processes Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 1
2009 Murray I, Salakhutdinov R. Evaluating probabilities under high-dimensional latent variable models Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1137-1144.  1
2008 Salakhutdinov R, Mnih A. Bayesian probabilistic matrix factorization using markov chain Monte Carlo Proceedings of the 25th International Conference On Machine Learning. 880-887.  1
2008 Salakhutdinov R, Murray I. On the quantitative analysis of deep belief networks Proceedings of the 25th International Conference On Machine Learning. 872-879.  1
2007 Salakhutdinov R, Hinton G. Learning a nonlinear embedding by preserving class neighbourhood structure Journal of Machine Learning Research. 2: 412-419.  1
2006 Hinton GE, Salakhutdinov RR. Reducing the dimensionality of data with neural networks. Science (New York, N.Y.). 313: 504-7. PMID 16873662 DOI: 10.1126/science.1127647  1
2005 Goldberger J, Roweis S, Hinton G, Salakhutdinov R. Neighbourhood components analysis Advances in Neural Information Processing Systems 1
2003 Salakhutdinov R, Roweis S, Ghahramani Z. Optimization with EM and Expectation-Conjugate-Gradient Proceedings, Twentieth International Conference On Machine Learning. 2: 672-679.  1
2003 Salakhutdinov R, Roweis S. Adaptive Overrelaxed Bound Optimization Methods Proceedings, Twentieth International Conference On Machine Learning. 2: 664-671.  1
Show low-probability matches.