Ruslan Salakhutdinov

According to our database1, Ruslan Salakhutdinov authored at least 189 papers between 2003 and 2018.

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Bibliography

2018
Point Cloud GAN.
CoRR, 2018

AutoLoss: Learning Discrete Schedules for Alternate Optimization.
CoRR, 2018

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.
CoRR, 2018

Style Transfer Through Multilingual and Feedback-Based Back-Translation.
CoRR, 2018

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.
CoRR, 2018

Deep Generative Models with Learnable Knowledge Constraints.
CoRR, 2018

Learning Cognitive Models using Neural Networks.
CoRR, 2018

Gated Path Planning Networks.
CoRR, 2018

Learning Factorized Multimodal Representations.
CoRR, 2018

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations.
CoRR, 2018

Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex.
CoRR, 2018

How Many Samples are Needed to Learn a Convolutional Neural Network?
CoRR, 2018

Style Transfer Through Back-Translation.
CoRR, 2018

Neural Models for Reasoning over Multiple Mentions using Coreference.
CoRR, 2018

Structured Control Nets for Deep Reinforcement Learning.
CoRR, 2018

Global Pose Estimation with an Attention-based Recurrent Network.
CoRR, 2018

Selecting the Best in GANs Family: a Post Selection Inference Framework.
CoRR, 2018

"Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study.
CoRR, 2018

On Characterizing the Capacity of Neural Networks using Algebraic Topology.
CoRR, 2018

Active Neural Localization.
CoRR, 2018

Investigating the Working of Text Classifiers.
CoRR, 2018

Knowledge-based Word Sense Disambiguation using Topic Models.
CoRR, 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

HotpotQA: A Dataset for Diverse, Explainable Multi-hop 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

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 Back-Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Gated-Attention Architectures for Task-Oriented Language Grounding.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Knowledge-based Word Sense Disambiguation using Topic Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model.
CoRR, 2017

Discovering Order in Unordered Datasets: Generative Markov Networks.
CoRR, 2017

Improving One-Shot Learning through Fusing Side Information.
CoRR, 2017

A Generic Approach for Escaping Saddle points.
CoRR, 2017

Deep Sets.
CoRR, 2017

Normalized Gradient with Adaptive Stepsize Method for Deep Neural Network Training.
CoRR, 2017

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks.
CoRR, 2017

Semi-Supervised QA with Generative Domain-Adaptive Nets.
CoRR, 2017

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.
CoRR, 2017

Question Answering from Unstructured Text by Retrieval and Comprehension.
CoRR, 2017

Learning Robust Visual-Semantic Embeddings.
CoRR, 2017

Neural Map: Structured Memory for Deep Reinforcement Learning.
CoRR, 2017

Geometry of Optimization and Implicit Regularization in Deep Learning.
CoRR, 2017

On Unifying Deep Generative Models.
CoRR, 2017

Controllable Text Generation.
CoRR, 2017

Linguistic Knowledge as Memory for Recurrent Neural Networks.
CoRR, 2017

A Comparative Study of Word Embeddings for Reading Comprehension.
CoRR, 2017

Good Semi-supervised Learning that Requires a Bad GAN.
CoRR, 2017

Gated-Attention Architectures for Task-Oriented Language Grounding.
CoRR, 2017

Deep Sets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Good Semi-supervised 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

Deep Determinantal Point Process for Large-Scale Multi-label Classification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Robust Visual-Semantic 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

Semi-Supervised QA with Generative Domain-Adaptive Nets.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Gated-Attention Readers for Text Comprehension.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Architectural Complexity Measures of Recurrent Neural Networks.
CoRR, 2016

Encode, Review, and Decode: Reviewer Module for Caption Generation.
CoRR, 2016

Multi-Task Cross-Lingual Sequence Tagging from Scratch.
CoRR, 2016

Words or Characters? Fine-grained Gating for Reading Comprehension.
CoRR, 2016

Revisiting Semi-Supervised Learning with Graph Embeddings.
CoRR, 2016

On Multiplicative Integration with Recurrent Neural Networks.
CoRR, 2016

On the Quantitative Analysis of Decoder-Based Generative Models.
CoRR, 2016

Stochastic Variational Deep Kernel Learning.
CoRR, 2016

Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations.
CoRR, 2016

The More You Know: Using Knowledge Graphs for Image Classification.
CoRR, 2016

Spatially Adaptive Computation Time for Residual Networks.
CoRR, 2016

Gated-Attention Readers for Text Comprehension.
CoRR, 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

Path-Normalized 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 Semi-Supervised 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
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection.
CoRR, 2015

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books.
CoRR, 2015

Exploiting Image-trained CNN Architectures for Unconstrained Video Classification.
CoRR, 2015

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.
CoRR, 2015

Deep Kernel Learning.
CoRR, 2015

Unsupervised Learning of Video Representations using LSTMs.
CoRR, 2015

Action Recognition using Visual Attention.
CoRR, 2015

Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning.
CoRR, 2015

Data-Dependent Path Normalization in Neural Networks.
CoRR, 2015

Path-SGD: Path-Normalized Optimization in Deep Neural Networks.
CoRR, 2015

Initialization Strategies of Spatio-Temporal Convolutional Neural Networks.
CoRR, 2015

Generating Images from Captions with Attention.
CoRR, 2015

Skip-Thought Vectors.
CoRR, 2015

Importance Weighted Autoencoders.
CoRR, 2015

Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions.
CoRR, 2015

Learning Wake-Sleep Recurrent Attention Models.
CoRR, 2015

Path-SGD: Path-Normalized Optimization in Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Skip-Thought Vectors.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning Wake-Sleep 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 Story-Like Visual Explanations by Watching Movies and Reading Books.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Predicting Deep Zero-Shot 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 Image-trained CNN Architectures for Unconstrained Video Classification.
Proceedings of the British Machine Vision Conference 2015, 2015

Accurate and conservative estimates of MRF log-likelihood 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

Multimodal learning with deep Boltzmann machines.
Journal of Machine Learning Research, 2014

Dropout: a simple way to prevent neural networks from overfitting.
Journal of Machine Learning Research, 2014

A Multiplicative Model for Learning Distributed Text-Based Attribute Representations.
CoRR, 2014

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models.
CoRR, 2014

Multi-task Neural Networks for QSAR Predictions.
CoRR, 2014

Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing.
CoRR, 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 Text-Based 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 Hierarchical-Deep Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Guest Editors' Introduction: Special Section on Learning Deep Architectures.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Learning generative models with visual attention.
CoRR, 2013

Modeling Documents with Deep Boltzmann Machines.
CoRR, 2013

Deep learning for neuroimaging: a validation study.
CoRR, 2013

The Power of Asymmetry in Binary Hashing.
CoRR, 2013

Modeling Documents with Deep Boltzmann Machines.
Proceedings of the Twenty-Ninth 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 5-8, 2013

Discriminative Transfer Learning with Tree-based 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 5-8, 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 5-8, 2013

One-shot 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 5-8, 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 5-8, 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

One-Shot 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

On the Convergence of Bound Optimization Algorithms
CoRR, 2012

Matrix reconstruction with the local max norm
CoRR, 2012

Exploiting compositionality to explore a large space of model structures
CoRR, 2012

Improving neural networks by preventing co-adaptation of feature detectors
CoRR, 2012

Deep Mixtures of Factor Analysers
CoRR, 2012

Exploiting compositionality to explore a large space of model structures.
Proceedings of the Twenty-Eighth 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 3-6, 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 3-6, 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 3-6, 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 3-6, 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 3-6, 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 large-scale 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 with the Weighted Trace-norm under Arbitrary Sampling Distributions
CoRR, 2011

Domain Adaptation: Overfitting and Small Sample Statistics
CoRR, 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 12-14 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 12-14 December 2011, 2011

Learning with the weighted trace-norm 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 12-14 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 Non-Uniform World: Learning with the Weighted Trace Norm
CoRR, 2010

Collaborative Filtering in a Non-Uniform 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 6-9 December 2010, 2010

Practical Large-Scale Optimization for Max-norm 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 6-9 December 2010, 2010

Learning Deep Boltzmann Machines using Adaptive MCMC.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Deep Boltzmann Machines.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Semantic hashing.
Int. J. Approx. Reasoning, 2009

Learning Nonlinear Dynamic Models
CoRR, 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 7-10 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 7-10 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 7-10 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 high-dimensional 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

Semi-Supervised Mixture-of-Experts 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 Expectation-Conjugate-Gradient.
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


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