Ruslan Salakhutdinov
According to our database^{1},
Ruslan Salakhutdinov
authored at least 120 papers
between 2003 and 2018.
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Bibliography
2018
GLoMo: Unsupervised Learning of Transferable Relational Graphs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Deep Generative Models with Learnable Knowledge Constraints.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
How Many Samples are Needed to Estimate a Convolutional Neural Network?
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Neural Models for Reasoning over Multiple Mentions Using Coreference.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Structured Control Nets for Deep Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018
Transformation Autoregressive Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018
Gated Path Planning Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018
Breaking the Softmax Bottleneck: A HighRank RNN Language Model.
Proceedings of the 6th International Conference on Learning Representations, 2018
Selecting the Best in GANs Family: a Post Selection Inference Framework.
Proceedings of the 6th International Conference on Learning Representations, 2018
Neural Map: Structured Memory for Deep Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018
LSTM Iteration Networks: An Exploration of Differentiable Path Finding.
Proceedings of the 6th International Conference on Learning Representations, 2018
On Unifying Deep Generative Models.
Proceedings of the 6th International Conference on Learning Representations, 2018
Active Neural Localization.
Proceedings of the 6th International Conference on Learning Representations, 2018
HotpotQA: A Dataset for Diverse, Explainable Multihop Question Answering.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Global Pose Estimation With an AttentionBased Recurrent Network.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018
Investigating the Working of Text Classifiers.
Proceedings of the 27th International Conference on Computational Linguistics, 2018
A Generic Approach for Escaping Saddle points.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Learning Cognitive Models Using Neural Networks.
Proceedings of the Artificial Intelligence in Education  19th International Conference, 2018
Style Transfer Through BackTranslation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
GatedAttention Architectures for TaskOriented Language Grounding.
Proceedings of the ThirtySecond AAAI Conference on Artificial Intelligence, 2018
Knowledgebased Word Sense Disambiguation using Topic Models.
Proceedings of the ThirtySecond AAAI Conference on Artificial Intelligence, 2018
2017
Deep Sets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Good Semisupervised Learning That Requires a Bad GAN.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.
Proceedings of the 34th International Conference on Machine Learning, 2017
Toward Controlled Generation of Text.
Proceedings of the 34th International Conference on Machine Learning, 2017
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks.
Proceedings of the 5th International Conference on Learning Representations, 2017
Words or Characters? Finegrained Gating for Reading Comprehension.
Proceedings of the 5th International Conference on Learning Representations, 2017
On the Quantitative Analysis of DecoderBased Generative Models.
Proceedings of the 5th International Conference on Learning Representations, 2017
Deep Determinantal Point Process for LargeScale Multilabel Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2017
Learning Robust VisualSemantic Embeddings.
Proceedings of the IEEE International Conference on Computer Vision, 2017
The More You Know: Using Knowledge Graphs for Image Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Spatially Adaptive Computation Time for Residual Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
SemiSupervised QA with Generative DomainAdaptive Nets.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
GatedAttention Readers for Text Comprehension.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
ActorMimic: Deep Multitask and Transfer Reinforcement Learning.
Proceedings of the 4th International Conference on Learning Representations, 2016
DataDependent Path Normalization in Neural Networks.
Proceedings of the 4th International Conference on Learning Representations, 2016
Generating Images from Captions with Attention.
Proceedings of the 4th International Conference on Learning Representations, 2016
Importance Weighted Autoencoders.
Proceedings of the 4th International Conference on Learning Representations, 2016
Architectural Complexity Measures of Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Review Networks for Caption Generation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
On Multiplicative Integration with Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Stochastic Variational Deep Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
PathNormalized Optimization of Recurrent Neural Networks with ReLU Activations.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Iterative Refinement of the Approximate Posterior for Directed Belief Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Revisiting SemiSupervised Learning with Graph Embeddings.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Deep Neural Networks with Massive Learned Knowledge.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Deep Kernel Learning.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
PathSGD: PathNormalized Optimization in Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
SkipThought Vectors.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Learning WakeSleep Recurrent Attention Models.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Unsupervised Learning of Video Representations using LSTMs.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Aligning Books and Movies: Towards StoryLike Visual Explanations by Watching Movies and Reading Books.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Predicting Deep ZeroShot Convolutional Neural Networks Using Textual Descriptions.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
segDeepM: Exploiting segmentation and context in deep neural networks for object detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Exploiting Imagetrained CNN Architectures for Unconstrained Video Classification.
Proceedings of the British Machine Vision Conference 2015, 2015
Accurate and conservative estimates of MRF loglikelihood using reverse annealing.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015
2014
Restricted Boltzmann machines for neuroimaging: An application in identifying intrinsic networks.
NeuroImage, 2014
Dropout: a simple way to prevent neural networks from overfitting.
Journal of Machine Learning Research, 2014
Deep learning for neuroimaging: a validation study.
Proceedings of the 2nd International Conference on Learning Representations, 2014
Learning Generative Models with Visual Attention.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
A Multiplicative Model for Learning Distributed TextBased Attribute Representations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Deep learning.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Multimodal Neural Language Models.
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Learning with HierarchicalDeep Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Guest Editors' Introduction: Special Section on Learning Deep Architectures.
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Modeling Documents with Deep Boltzmann Machines.
Proceedings of the TwentyNinth Conference on Uncertainty in Artificial Intelligence, 2013
Learning Stochastic Feedforward Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
Discriminative Transfer Learning with Treebased Priors.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
The Power of Asymmetry in Binary Hashing.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
Oneshot learning by inverting a compositional causal process.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
Annealing between distributions by averaging moments.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
Tensor Analyzers.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
An Efficient Learning Procedure for Deep Boltzmann Machines.
Neural Computation, 2012
OneShot Learning with a Hierarchical Nonparametric Bayesian Model.
Proceedings of the Unsupervised and Transfer Learning, 2012
Domain Adaptation: A Small Sample Statistical Approach.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Exploiting compositionality to explore a large space of model structures.
Proceedings of the TwentyEighth Conference on Uncertainty in Artificial Intelligence, 2012
Cardinality Restricted Boltzmann Machines.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
Multimodal Learning with Deep Boltzmann Machines.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
A Better Way to Pretrain Deep Boltzmann Machines.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
Matrix reconstruction with the local max norm.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
Hamming Distance Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
Deep Lambertian Networks.
Proceedings of the 29th International Conference on Machine Learning, 2012
Deep Mixtures of Factor Analysers.
Proceedings of the 29th International Conference on Machine Learning, 2012
Resource configurable spoken query detection using Deep Boltzmann Machines.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Robust Boltzmann Machines for recognition and denoising.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Concept learning as motor program induction: A largescale empirical study.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012
2011
Discovering Binary Codes for Documents by Learning Deep Generative Models.
topiCS, 2011
Learning to Learn with Compound HD Models.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 1214 December 2011, 2011
Transfer Learning by Borrowing Examples for Multiclass Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 1214 December 2011, 2011
Learning with the weighted tracenorm under arbitrary sampling distributions.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 1214 December 2011, 2011
Learning to share visual appearance for multiclass object detection.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
One shot learning of simple visual concepts.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011
2010
Efficient Learning of Deep Boltzmann Machines.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Collaborative Filtering in a NonUniform World: Learning with the Weighted Trace Norm.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 69 December 2010, 2010
Practical LargeScale Optimization for Maxnorm Regularization.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 69 December 2010, 2010
Learning Deep Boltzmann Machines using Adaptive MCMC.
Proceedings of the 27th International Conference on Machine Learning (ICML10), 2010
2009
Deep Boltzmann Machines.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Semantic hashing.
Int. J. Approx. Reasoning, 2009
Modelling Relational Data using Bayesian Clustered Tensor Factorization.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Replicated Softmax: an Undirected Topic Model.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Learning in Markov Random Fields using Tempered Transitions.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Workshop summary: Workshop on learning feature hierarchies.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Evaluation methods for topic models.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Learning nonlinear dynamic models.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Evaluating probabilities under highdimensional latent variable models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo.
Proceedings of the Machine Learning, 2008
On the quantitative analysis of deep belief networks.
Proceedings of the Machine Learning, 2008
2007
Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
Probabilistic Matrix Factorization.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Restricted Boltzmann machines for collaborative filtering.
Proceedings of the Machine Learning, 2007
2004
Neighbourhood Components Analysis.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
SemiSupervised MixtureofExperts Classification.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
2003
On the Convergence of Bound Optimization Algorithms.
Proceedings of the UAI '03, 2003
Optimization with EM and ExpectationConjugateGradient.
Proceedings of the Machine Learning, 2003
Adaptive Overrelaxed Bound Optimization Methods.
Proceedings of the Machine Learning, 2003
Simultaneous Localization and Surveying with Multiple Agents.
Proceedings of the Switching and Learning in Feedback Systems, 2003