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Ruslan Salakhutdinov - Publications

Affiliations: 
University of Toronto, Toronto, ON, Canada 
Area:
computer vision
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29/75 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  0.533
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  0.349
2014 Plis SM, Hjelm DR, Salakhutdinov R, Allen EA, Bockholt HJ, Long JD, Johnson HJ, Paulsen JS, Turner JA, Calhoun VD. Deep learning for neuroimaging: a validation study. Frontiers in Neuroscience. 8: 229. PMID 25191215 DOI: 10.3389/Fnins.2014.00229  0.366
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  0.342
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.  0.455
2014 Kiros R, Salakhutdinov R, Zemel R. Multimodal neural language models 31st International Conference On Machine Learning, Icml 2014. 3: 2012-2025.  0.547
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.  0.582
2013 Bengio S, Deng L, Larochelle H, Lee H, Salakhutdinov R. Guest editors' introduction: special section on learning deep architectures. Ieee Transactions On Pattern Analysis and Machine Intelligence. 35: 1795-7. PMID 23946944 DOI: 10.1109/Tpami.2013.118  0.355
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  0.358
2013 Tang Y, Salakhutdinov R, Hinton G. Tensor analyzers 30th International Conference On Machine Learning, Icml 2013. 1200-1208.  0.422
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.  0.546
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  0.589
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  0.529
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.  0.429
2012 Tang Y, Salakhutdinov R, Hinton G. Deep Lambertian networks Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 2: 1623-1630.  0.447
2012 Salakhutdinov R, Hinton G. A better way to pretrain Deep Boltzmann Machines Advances in Neural Information Processing Systems. 3: 2447-2455.  0.535
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.  0.653
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  0.551
2009 Salakhutdinov R, Hinton G. Semantic hashing International Journal of Approximate Reasoning. 50: 969-978. DOI: 10.1016/j.ijar.2008.11.006  0.532
2009 Salakhutdinov R, Hinton G. Deep Boltzmann machines Journal of Machine Learning Research. 5: 448-455.  0.532
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.  0.506
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.  0.445
2007 Salakhutdinov R, Mnih A, Hinton G. Restricted Boltzmann machines for collaborative filtering Acm International Conference Proceeding Series. 227: 791-798. DOI: 10.1145/1273496.1273596  0.485
2007 Salakhutdinov R, Hinton G. Learning a nonlinear embedding by preserving class neighbourhood structure Journal of Machine Learning Research. 2: 412-419.  0.479
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  0.485
2005 Goldberger J, Roweis S, Hinton G, Salakhutdinov R. Neighbourhood components analysis Advances in Neural Information Processing Systems.  0.63
2005 Roweis ST, Salakhutdinov RR. Simultaneous localization and surveying with multiple agents Lecture Notes in Computer Science. 3355: 313-332.  0.547
2003 Salakhutdinov R, Roweis S, Ghahramani Z. Optimization with EM and Expectation-Conjugate-Gradient Proceedings, Twentieth International Conference On Machine Learning. 2: 672-679.  0.63
2003 Salakhutdinov R, Roweis S. Adaptive Overrelaxed Bound Optimization Methods Proceedings, Twentieth International Conference On Machine Learning. 2: 664-671.  0.568
Low-probability matches (unlikely to be authored by this person)
2014 Plis S, Hjelm RD, Salakhutdinov R, Bockholt H, Long J, Johnson H, Paulsen J, Turner J, Calhoun V. Deep learning models for brain imaging: model depth enhances discovery power F1000research. 5. DOI: 10.7490/F1000Research.1096273.1  0.294
2014 Srivastava N, Salakhutdinov R. Multimodal learning with Deep Boltzmann Machines Journal of Machine Learning Research. 15: 2949-2980.  0.281
2010 Salakhutdinov R, Larochelle H. Efficient learning of Deep Boltzmann Machines Journal of Machine Learning Research. 9: 693-700.  0.273
2010 Salakhutdinov R. Learning Deep Boltzmann Machines using adaptive MCMC Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 943-950.  0.272
2019 Lake BM, Salakhutdinov R, Tenenbaum JB. The Omniglot challenge: a 3-year progress report Current Opinion in Behavioral Sciences. 29: 97-104. DOI: 10.1016/j.cobeha.2019.04.007  0.261
2015 Salakhutdinov R. Learning Deep Generative Models Annual Review of Statistics and Its Application. 2: 361-385. DOI: 10.1146/annurev-statistics-010814-020120  0.216
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  0.208
2013 Tang Y, Salakhutdinov R. Learning stochastic feedforward neural networks Advances in Neural Information Processing Systems.  0.201
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.  0.186
2012 Norouzi M, Fleet DJ, Salakhutdinov R. Hamming distance metric learning Advances in Neural Information Processing Systems. 2: 1061-1069.  0.173
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  0.166
2013 Srivastava N, Salakhutdinov R. Discriminative transfer learning with tree-based priors Advances in Neural Information Processing Systems.  0.162
2014 Tang Y, Srivastava N, Salakhutdinov R. Learning generative models with visual attention Advances in Neural Information Processing Systems. 2: 1808-1816.  0.162
2013 Lake BM, Salakhutdinov R, Tenenbaum JB. One-shot learning by inverting a compositional causal process Advances in Neural Information Processing Systems.  0.161
2020 Tsai YH, Ma MQ, Yang M, Salakhutdinov R, Morency LP. Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis. Proceedings of the Conference On Empirical Methods in Natural Language Processing. Conference On Empirical Methods in Natural Language Processing. 2020: 1823-1833. PMID 33969363 DOI: 10.18653/v1/2020.emnlp-main.143  0.16
2019 Sachan DS, Zaheer M, Salakhutdinov R. Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function Proceedings of the Aaai Conference On Artificial Intelligence. 33: 6940-6948. DOI: 10.1609/aaai.v33i01.33016940  0.159
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.  0.151
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.  0.15
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  0.145
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.  0.13
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.  0.127
2004 Karakoulas G, Salakhutdinov R. Semi-supervised mixture-of-experts classification Proceedings - Fourth Ieee International Conference On Data Mining, Icdm 2004. 138-145. DOI: 10.1109/ICDM.2004.10103  0.122
2019 Tsai YH, Bai S, Pu Liang P, Kolter JZ, Morency LP, Salakhutdinov R. Multimodal Transformer for Unaligned Multimodal Language Sequences. Proceedings of the Conference. Association For Computational Linguistics. Meeting. 2019: 6558-6569. PMID 32362720 DOI: 10.18653/v1/p19-1656  0.12
2008 Salakhutdinov R, Murray I. On the quantitative analysis of deep belief networks Proceedings of the 25th International Conference On Machine Learning. 872-879.  0.112
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  0.082
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.  0.082
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.  0.075
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.  0.07
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.  0.069
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.  0.057
1991 Bajgaliev BE, Salakhutdinov RM. A mathematical model of a plastic tube heat exchange Inzhenerno-Fizicheskii Zhurnal. 60: 297-302.  0.049
1991 Baigaliev BE, Salakhutdinov RM. Mathematical model of a plastic tubular heat exchanger Journal of Engineering Physics. 60: 243-247. DOI: 10.1007/BF00873072  0.048
2013 Grosse R, Maddison CJ, Salakhutdinov R. Annealing between distributions by averaging moments Advances in Neural Information Processing Systems.  0.038
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.  0.036
1980 Ibragimov MG, Salakhutdinov RS, Shakirzyanov RG, Yumasheva SM. Special Features of the Stabilization of Oils of Coal-Bearing Horizons. | OSOBENNOSTI STABILIZATSII NEFTEI UGLENOSNYKH GORIZONTOV. Oil Industry. 45-47.  0.028
2012 Foster D, Kakade S, Salakhutdinov R. Domain adaptation: A small sample statistical approach Journal of Machine Learning Research. 22: 960-968.  0.025
2009 Salakhutdinov R, Mnih A. Probabilistic matrix factorization Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.  0.023
1975 Voronov AL, Salakhutdinov RM. EFFECT OF GEAR MECHANISM PARAMETERS ON THE NATURAL FREQUENCY SPECTRUM. Mach Tool. 46: 11-13.  0.02
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.  0.019
2005 Bukharaeva EA, Salakhutdinov RI, Vyskocil F, Nikolsky EE. Spontaneous quantal and non-quantal release of acetylcholine at mouse endplate during onset of hypoxia. Physiological Research / Academia Scientiarum Bohemoslovaca. 54: 251-5. PMID 15826238  0.017
2012 Foygel R, Srebro N, Salakhutdinov R. Matrix reconstruction with the local max norm Advances in Neural Information Processing Systems. 2: 936-943.  0.017
1994 Papushev PG, Salakhutdinov RT. The dynamics of chromospheric spicules Space Science Reviews. 70: 47-51. DOI: 10.1007/BF00777840  0.015
2013 Neyshabur B, Yadollahpour P, Makarychev Y, Salakhutdinov R, Srebro N. The power of asymmetry in binary hashing Advances in Neural Information Processing Systems.  0.014
2019 Mingaleeva GR, Yakovleva MP, Salakhutdinov RR, Tolstikov AG, Ishmuratov GY. Undec-10-enoic Acid in the Synthesis of Macroheterocycles Containing Hydrazide and Ester Fragments Russian Journal of Organic Chemistry. 55: 514-517. DOI: 10.1134/S107042801904016X  0.01
1991 Bajgaliev BE, Vajberg VM, Salakhutdinov RM. Plastic heat exchanges Inzhenerno-Fizicheskii Zhurnal. 60: 338.  0.01
1991 Baigaliev BE, Salakhutdinov RM, Tarakanov SI. Elevating thermal efficiency of a radiator by increasing the finning area Inzhenerno-Fizicheskii Zhurnal. 61: 163.  0.01
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