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List of works by Ruslan Salakhutdinov

A Better Way to Pretrain Deep Boltzmann Machines

scientific article published in January 2012

A Closer Look at Accuracy vs. Robustness

A Multiplicative Model for Learning Distributed Text-Based Attribute Representations

scientific article published in January 2014

An Efficient Learning Procedure for Deep Boltzmann Machines

scientific article published on April 17, 2012

Annealing between distributions by averaging moments

Architectural Complexity Measures of Recurrent Neural Networks

scientific article published in January 2016

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

scientific article published on 9 June 2022

Cardinality Restricted Boltzmann Machines

scientific article published in January 2012

Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm

scientific article published in January 2010

Deep Gamblers: Learning to Abstain with Portfolio Theory

Deep Generative Models with Learnable Knowledge Constraints

Deep Sets

Deep learning for neuroimaging: a validation study

scientific article published on 20 August 2014

Discovering binary codes for documents by learning deep generative models

scientific article published on 18 August 2010

Discriminative Transfer Learning with Tree-based Priors

Dropout: A Simple Way to Prevent Neural Networks from Overfitting

article by Nitish Srivastava et al published 2014 in Journal of Machine Learning Research

Evaluating probabilities under high-dimensional latent variable models

Evaluation methods for topic models

GLoMo: Unsupervised Learning of Transferable Relational Graphs

article

Generating Images from Captions with Attention

Good Semi-supervised Learning That Requires a Bad GAN

scientific article published in January 2017

Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels

Hamming Distance Metric Learning

scientific article published in January 2012

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

How Many Samples are Needed to Estimate a Convolutional Neural Network?

article

Human-level concept learning through probabilistic program induction

scientific article

Iterative Refinement of the Approximate Posterior for Directed Belief Networks

scientific article published in January 2016

Learning Data Manipulation for Augmentation and Weighting

scientific article published in January 2019

Learning Deep Generative Models

scientific article

Learning Generative Models with Visual Attention

scientific article published in January 2014

Learning Neural Networks with Adaptive Regularization

Learning Stochastic Feedforward Neural Networks

scholarly article by Charlie Tang & Ruslan Salakhutdinov published 2013 in Advances in Neural Information Processing Systems 26

Learning Wake-Sleep Recurrent Attention Models

Learning in Markov Random Fields using Tempered Transitions

scientific article published in January 2009

Learning to Learn with Compound HD Models

scientific article published in January 2011

Learning with Hierarchical-Deep Models

scientific article published on August 1, 2013

Learning with the weighted trace-norm under arbitrary sampling distributions

scientific article published in January 2011

Matrix reconstruction with the local max norm

scientific article published in January 2012

Modelling Relational Data using Bayesian Clustered Tensor Factorization

scientific article published in January 2009

Multimodal Fusion Interactions: A Study of Human and Automatic Quantification

scientific article published on 07 October 2023

Multimodal Learning with Deep Boltzmann Machines

scientific article published in January 2012

Multimodal Transformer for Unaligned Multimodal Language Sequences

scientific article published on 01 July 2019

Multiple Futures Prediction

scientific article published in January 2019

Neighbourhood Components Analysis

scientific article published in January 2005

Neural Methods for Point-wise Dependency Estimation

scientific article published in November 2020

Object Goal Navigation using Goal-Oriented Semantic Exploration

scientific article published in November 2020

On Exact Computation with an Infinitely Wide Neural Net

On Multiplicative Integration with Recurrent Neural Networks

scientific article published in January 2016

On Reward-Free Reinforcement Learning with Linear Function Approximation

scholarly article by Ruosong Wang et al published November 2020 in Advances in Neural Information Processing Systems 33

On the Complexity of Exploration in Goal-Driven Navigation

One-shot learning by inverting a compositional causal process

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

scientific article published in 2018

Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations

scientific article published in January 2016

Path-SGD: Path-Normalized Optimization in Deep Neural Networks

Planning with General Objective Functions: Going Beyond Total Rewards

scientific article published in November 2020

Practical Large-Scale Optimization for Max-norm Regularization

Probabilistic Matrix Factorization

scientific article published in January 2008

Reducing the dimensionality of data with neural networks

scientific article

Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension

scientific article published in November 2020

Replicated Softmax: an Undirected Topic Model

scholarly article

Restricted Boltzmann machines for neuroimaging: an application in identifying intrinsic networks

scientific article

Review Networks for Caption Generation

scientific article published in January 2016

Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement

scientific article published in November 2020

Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

scientific article published in January 2019

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

scholarly article

Skip-Thought Vectors

scientific article (publication date: 22 June 2015)

Stochastic Variational Deep Kernel Learning

scientific article published in January 2016

The More You Know: Using Knowledge Graphs for Image Classification

scientific article published in July 2017

The Power of Asymmetry in Binary Hashing

Transfer Learning by Borrowing Examples for Multiclass Object Detection

scientific article published in January 2011

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

scientific article published on 2 June 2019

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

scientific article published on 10 November 2014

Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes

scientific article published in January 2008

Weakly-Supervised Reinforcement Learning for Controllable Behavior

scientific article published in November 2020

XLNet: Generalized Autoregressive Pretraining for Language Understanding

scientific article published on 19 June 2019