Ruslan Salakhutdinov

Dongyu Li, Ruslan Salakhutdinov, Yao-Hung Hubert Tsai, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Neural Networks with Massive Learned Knowledge

Eric P. Xing, Zhiting Hu, Ruslan Salakhutdinov, 2016, EMNLP.

Domain Adaptation: A Small Sample Statistical Approach

Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Foster, 2012, AISTATS.

Guest Editors' Introduction: Special Section on Learning Deep Architectures

Samy Bengio, Li Deng, Honglak Lee, 2013, IEEE Trans. Pattern Anal. Mach. Intell..

Replicated Softmax: an Undirected Topic Model

Geoffrey E. Hinton, Ruslan Salakhutdinov, R. Salakhutdinov, 2009, NIPS.

Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning pdf

Ruslan Salakhutdinov, Emilio Parisotto, Jimmy Ba, 2015, ICLR.

LSMI-Sinkhorn: Semi-supervised Squared-Loss Mutual Information Estimation with Optimal Transport pdf

Yi Yang, Makoto Yamada, Ruslan Salakhutdinov, 2019, ArXiv.

Exploring Controllable Text Generation Techniques

Alan W Black, Ruslan Salakhutdinov, Shrimai Prabhumoye, 2020, COLING.

Deep Determinantal Point Process for Large-Scale Multi-label Classification

Pengtao Xie, Eric P. Xing, Luntian Mou, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

LSTM Iteration Networks: An Exploration of Differentiable Path Finding

Ruslan Salakhutdinov, Emilio Parisotto, Devendra Singh Chaplot, 2018, International Conference on Learning Representations.

Controllable Text Generation pdf

Eric P. Xing, Zhiting Hu, Ruslan Salakhutdinov, 2017, ArXiv.

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo

Ruslan Salakhutdinov, Andriy Mnih, R. Salakhutdinov, 2008, ICML '08.

Improving One-Shot Learning through Fusing Side Information pdf

Ruslan Salakhutdinov, Yao-Hung Tsai, Yao-Hung Hubert Tsai, 2017, ArXiv.

Breaking the Softmax Bottleneck: A High-Rank RNN Language Model pdf

Ruslan Salakhutdinov, William W. Cohen, Zhilin Yang, 2017, ICLR.

Investigating the Working of Text Classifiers

Ruslan Salakhutdinov, Manzil Zaheer, Devendra Singh Sachan, 2018, COLING.

Concurrent Meta Reinforcement Learning pdf

Ruslan Salakhutdinov, Emilio Parisotto, Soham Ghosh, 2019, ArXiv.

Neighbourhood Components Analysis

Geoffrey E. Hinton, Jacob Goldberger, Ruslan Salakhutdinov, 2004, NIPS.

Iterative Refinement of the Approximate Posterior for Directed Belief Networks

Nebojsa Jojic, Vince D. Calhoun, Ruslan Salakhutdinov, 2015, NIPS.

Annealing between distributions by averaging moments

Ruslan Salakhutdinov, Roger B. Grosse, Chris J. Maddison, 2013, NIPS.

On the Complexity of Exploration in Goal-Driven Navigation pdf

Eric P. Xing, Ruslan Salakhutdinov, Maruan Al-Shedivat, 2018, ArXiv.

The Omniglot challenge: a 3-year progress report

Joshua B. Tenenbaum, Ruslan Salakhutdinov, Brenden M. Lake, 2019, Current Opinion in Behavioral Sciences.

Practical Large-Scale Optimization for Max-norm Regularization

Ruslan Salakhutdinov, Joel A. Tropp, Nathan Srebro, 2010, NIPS.

Deep learning for neuroimaging: a validation study

Vince D. Calhoun, Sergey M. Plis, Ruslan Salakhutdinov, 2013, Front. Neurosci..

Learning Stochastic Feedforward Neural Networks

Ruslan Salakhutdinov, Yichuan Tang, R. Salakhutdinov, 2013, NIPS.

Robust Boltzmann Machines for recognition and denoising

Geoffrey E. Hinton, Ruslan Salakhutdinov, Yichuan Tang, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Unsupervised Learning of Video Representations using LSTMs

Nitish Srivastava, Ruslan Salakhutdinov, Elman Mansimov, 2015, ICML.

Learning Generative Models with Visual Attention

Nitish Srivastava, Ruslan Salakhutdinov, Yichuan Tang, 2013, NIPS.

External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems

Lin Ma, Ruslan Salakhutdinov, Andrew Pavlo, 2019, IEEE Data Eng. Bull..

Informedia @ TRECVID 2018: Ad-hoc Video Search, Video to Text Description, Activities in Extended video

Yaser Sheikh, Haroon Idrees, Ruslan Salakhutdinov, 2018, TREC Video Retrieval Evaluation.

Question Answering from Unstructured Text by Retrieval and Comprehension pdf

Ruslan Salakhutdinov, Yusuke Watanabe, Bhuwan Dhingra, 2017, ArXiv.

Capsules with Inverted Dot-Product Attention Routing pdf

Nitish Srivastava, Ruslan Salakhutdinov, Hanlin Goh, 2020, ICLR.

A Multiplicative Model for Learning Distributed Text-Based Attribute Representations

Ruslan Salakhutdinov, Richard S. Zemel, Ryan Kiros, 2014, NIPS.

Connecting the Dots Between MLE and RL for Sequence Generation pdf

Eric P. Xing, Zhiting Hu, Ruslan Salakhutdinov, 2018, DeepRLStructPred@ICLR.

An Efficient Learning Procedure for Deep

Geoffrey E. Hinton, Ruslan Salakhutdinov, Boltzmann Machines, 2010 .

Cross-Task Knowledge Transfer for Visually-Grounded Navigation

Ruslan Salakhutdinov, Dhruv Batra, Devendra Singh Chaplot, 2018 .

MineRL: A Large-Scale Dataset of Minecraft Demonstrations pdf

Ruslan Salakhutdinov, Brandon Houghton, Nicholay Topin, 2019, IJCAI.

Neural Topological SLAM for Visual Navigation

Ruslan Salakhutdinov, Abhinav Gupta, Devendra Singh Chaplot, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Towards Debiasing Sentence Representations

Ruslan Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang, 2020, ACL.

Non-linear dimensionality reduction using neural networks

Geoffrey E. Hinton, Ruslan Salakhutdinov, 2006 .

Linguistic Knowledge as Memory for Recurrent Neural Networks pdf

Ruslan Salakhutdinov, William W. Cohen, Zhilin Yang, 2017, ArXiv.

GLoMo: Unsupervised Learning of Transferable Relational Graphs

Yann LeCun, Ruslan Salakhutdinov, William W. Cohen, 2018, NeurIPS.

Adversarial Robustness Through Local Lipschitzness pdf

Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri, 2020, ArXiv.

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

Yoshua Bengio, Ruslan Salakhutdinov, William W. Cohen, 2018, EMNLP.

Exploiting Image-trained CNN Architectures for Unconstrained Video Classification

Nitish Srivastava, Ruslan Salakhutdinov, Shengxin Zha, 2015, BMVC.

Good Semi-supervised Learning That Requires a Bad GAN pdf

Fan Yang, Ruslan Salakhutdinov, William W. Cohen, 2017, NIPS.

C-Learning: Learning to Achieve Goals via Recursive Classification pdf

Ruslan Salakhutdinov, Sergey Levine, Benjamin Eysenbach, 2020, ArXiv.

“My Way of Telling a Story”: Persona based Grounded Story Generation pdf

Alan W Black, Ruslan Salakhutdinov, Khyathi Raghavi Chandu, 2019, Proceedings of the Second Workshop on Storytelling.

Multimodal learning with deep Boltzmann machines

Nitish Srivastava, Ruslan Salakhutdinov, R. Salakhutdinov, 2012, J. Mach. Learn. Res..

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks pdf

Ruslan Salakhutdinov, William W. Cohen, Zhilin Yang, 2016, ICLR.

Generating Images from Captions with Attention pdf

Ruslan Salakhutdinov, Emilio Parisotto, Elman Mansimov, 2015, ICLR.

Deep Sets

Alexander J. Smola, Barnabás Póczos, Ruslan Salakhutdinov, 2017, 1703.06114.

Few-Shot Learning with Intra-Class Knowledge Transfer pdf

Yan Xu, Ruslan Salakhutdinov, Kris Kitani, 2020, ArXiv.

Discovering Order in Unordered Datasets: Generative Markov Networks pdf

Nebojsa Jojic, Han Zhao, Ruslan Salakhutdinov, 2017, ArXiv.

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers pdf

Ruslan Salakhutdinov, Shreyas Chaudhari, Sergey Levine, 2020, ArXiv.

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

Ruosong Wang, Barnabás Póczos, Ruslan Salakhutdinov, 2019, NeurIPS.

Learning in Markov Random Fields using Tempered Transitions

Ruslan Salakhutdinov, R. Salakhutdinov, 2009, NIPS.

Progressive Knowledge Distillation For Generative Modeling

Ruslan Salakhutdinov, Martial Hebert, Yu-Xiong Wang, 2019 .

Transformer Dissection: An Unified Understanding for Transformer's Attention via the Lens of Kernel pdf

Makoto Yamada, Ruslan Salakhutdinov, Louis-Philippe Morency, 2019, EMNLP/IJCNLP.

On Reward-Free Reinforcement Learning with Linear Function Approximation pdf

Ruosong Wang, Ruslan Salakhutdinov, Lin F. Yang, 2020, NeurIPS.

Connecting the Dots Between MLE and RL for Sequence Prediction

Eric Xing, Zhiting Hu, Ruslan Salakhutdinov, 2019 .

Adaptive Overrelaxed Bound Optimization Methods

Ruslan Salakhutdinov, Sam T. Roweis, R. Salakhutdinov, 2003, ICML.

Learning nonlinear dynamic models pdf

John Langford, Ruslan Salakhutdinov, Tong Zhang, 2009, ICML '09.

Modeling Documents with Deep Boltzmann Machines

Nitish Srivastava, Geoffrey E. Hinton, Ruslan Salakhutdinov, 2013, UAI.

Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes

Geoffrey E. Hinton, Ruslan Salakhutdinov, R. Salakhutdinov, 2007, NIPS.

Domain Adaptation: Overfitting and Small Sample Statistics pdf

Ruslan Salakhutdinov, Sham M. Kakade, Dean P. Foster, 2011, ArXiv.

Learning Deep Boltzmann Machines using Adaptive MCMC

Ruslan Salakhutdinov, R. Salakhutdinov, 2010, ICML.

Optimization with EM and Expectation-Conjugate-Gradient

Zoubin Ghahramani, Ruslan Salakhutdinov, Sam T. Roweis, 2003, ICML.

Efficient Learning of Deep Boltzmann Machines

Hugo Larochelle, Ruslan Salakhutdinov, R. Salakhutdinov, 2010, AISTATS.

Accurate and conservative estimates of MRF log-likelihood using reverse annealing pdf

Ruslan Salakhutdinov, Roger B. Grosse, Yuri Burda, 2014, AISTATS.

Tensor Analyzers

Geoffrey E. Hinton, Ruslan Salakhutdinov, Yichuan Tang, 2013, ICML.

Architectural Complexity Measures of Recurrent Neural Networks

Yoshua Bengio, Ruslan Salakhutdinov, Roland Memisevic, 2016, NIPS.

Evaluating probabilities under high-dimensional latent variable models

Ruslan Salakhutdinov, Iain Murray, R. Salakhutdinov, 2008, NIPS.

Deep Generative Models with Learnable Knowledge Constraints

Eric Xing, Zhiting Hu, Ruslan Salakhutdinov, 2018, NeurIPS.

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models pdf

Ruslan Salakhutdinov, Richard S. Zemel, Ryan Kiros, 2014, ArXiv.

On the Quantitative Analysis of Decoder-Based Generative Models pdf

Ruslan Salakhutdinov, Roger B. Grosse, Yuhuai Wu, 2016, ICLR.

Action Recognition using Visual Attention pdf

Ruslan Salakhutdinov, Shikhar Sharma, Ryan Kiros, 2015, NIPS 2015.

Semi-Supervised QA with Generative Domain-Adaptive Nets

Ruslan Salakhutdinov, William W. Cohen, Zhilin Yang, 2017, ACL.

Object Goal Navigation using Goal-Oriented Semantic Exploration pdf

Ruslan Salakhutdinov, Abhinav Gupta, Devendra Singh Chaplot, 2020, NeurIPS.

Geometry of Optimization and Implicit Regularization in Deep Learning pdf

Ruslan Salakhutdinov, Ryota Tomioka, Nathan Srebro, 2017, ArXiv.

Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex pdf

Hongyang Zhang, Ruslan Salakhutdinov, Junru Shao, 2018, ArXiv.

Learning Robust Visual-Semantic Embeddings

Ruslan Salakhutdinov, Yao-Hung Tsai, Yao-Hung Hubert Tsai, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Learning with Hierarchical-Deep Models

Joshua B. Tenenbaum, Antonio Torralba, Ruslan Salakhutdinov, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Multi-Task Cross-Lingual Sequence Tagging from Scratch pdf

Ruslan Salakhutdinov, William W. Cohen, Zhilin Yang, 2016, ArXiv.

Deep Mixtures of Factor Analysers pdf

Geoffrey E. Hinton, Ruslan Salakhutdinov, Yichuan Tang, 2012, ICML.

DIFFERENTIABLE MULTI-HOP REASONING OVER A VIRTUAL KNOWLEDGE BASE

Graham Neubig, Ruslan Salakhutdinov, William W. Cohen, 2020 .

Learning Representations for Multimodal Data with Deep Belief Nets

Nitish Srivastava, Ruslan Salakhutdinov, R. Salakhutdinov, 2012 .

Multiple Futures Prediction

Ruslan Salakhutdinov, Yichuan Charlie Tang, R. Salakhutdinov, 2019, NeurIPS.

Learning Deep Generative Models

Ruslan Salakhutdinov, R. Salakhutdinov, 2009 .

Multi-task Neural Networks for QSAR Predictions pdf

Navdeep Jaitly, Ruslan Salakhutdinov, George E. Dahl, 2014, ArXiv.

Self-supervised Learning from a Multi-view Perspective

Ruslan Salakhutdinov, Louis-Philippe Morency, Yue Wu, 2020, ICLR.

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions pdf

Zhiting Hu, Ruslan Salakhutdinov, Zichao Yang, 2017, ICML.

Differentiable Reasoning over a Virtual Knowledge Base pdf

Graham Neubig, Ruslan Salakhutdinov, William W. Cohen, 2020, ICLR.

Learning to Explore using Active Neural SLAM pdf

Ruslan Salakhutdinov, Abhinav Gupta, Devendra Singh Chaplot, 2020, ICLR.

Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations

Ruslan Salakhutdinov, Nathan Srebro, Behnam Neyshabur, 2016, NIPS.

Transformer-XL: Language Modeling with Longer-Term Dependency

Yiming Yang, Jaime G. Carbonell, Quoc V. Le, 2018 .

Skip-Thought Vectors

Sanja Fidler, Raquel Urtasun, Ruslan Salakhutdinov, 2015, NIPS.

Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex

Ruslan Salakhutdinov, Hongyang Zhang, Junru Shao, 2019, AISTATS.

Workshop summary: Workshop on learning feature hierarchies

Geoffrey E. Hinton, Yoshua Bengio, Yann LeCun, 2009, ICML '09.

Toward Controlled Generation of Text

Eric P. Xing, Zhiting Hu, Ruslan Salakhutdinov, 2017, ICML.

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks pdf

Ruosong Wang, Dingli Yu, Ruslan Salakhutdinov, 2019, ICLR.

Case Study: Deontological Ethics in NLP pdf

Alan W Black, Ruslan Salakhutdinov, Shrimai Prabhumoye, 2020, NAACL.

Close Category Generalization for Out-of-Distribution Classification pdf

Cyrus Rashtchian, Ruslan Salakhutdinov, Kamalika Chaudhuri, 2020, ArXiv.

Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions

Sanja Fidler, Ruslan Salakhutdinov, Jimmy Ba, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations pdf

Yann LeCun, Ruslan Salakhutdinov, William W. Cohen, 2018, ArXiv.

Initialization Strategies of Spatio-Temporal Convolutional Neural Networks pdf

Nitish Srivastava, Ruslan Salakhutdinov, Elman Mansimov, 2015, ArXiv.

Learning Data Manipulation for Augmentation and Weighting

Tom M. Mitchell, Eric P. Xing, Zhiting Hu, 2019, NeurIPS.

Efficient Exploration via State Marginal Matching pdf

Sergey Levine, Eric Xing, Ruslan Salakhutdinov, 2019, ArXiv.

On Characterizing the Capacity of Neural Networks using Algebraic Topology pdf

Ruslan Salakhutdinov, William H. Guss, R. Salakhutdinov, 2018, ArXiv.

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

Vince D. Calhoun, Sergey M. Plis, Tülay Adali, 2014, NeuroImage.

Learning Not to Learn in the Presence of Noisy Labels pdf

Ruslan Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang, 2020, ArXiv.

Deep Gamblers: Learning to Abstain with Portfolio Theory

Ruslan Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang, 2019, NeurIPS.

Fast Inference and Learning for Modeling Documents with a Deep Boltzmann Machine

Nitish Srivastava, Geoffrey E. Hinton, Ruslan Salakhutdinov, 2013 .

Modeling Documents with Deep Boltzmann Machines pdf

Nitish Srivastava, Geoffrey E. Hinton, Ruslan Salakhutdinov, 2013, UAI.

The Power of Asymmetry in Binary Hashing

Ruslan Salakhutdinov, Nathan Srebro, Yury Makarychev, 2013, NIPS.

A Simple Approach to the Noisy Label Problem Through the Gambler's Loss

Ruslan Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang, 2019 .

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

Yiming Yang, Jaime G. Carbonell, Quoc V. Le, 2019, ACL.

Style Transfer Through Multilingual and Feedback-Based Back-Translation pdf

Yulia Tsvetkov, Ruslan Salakhutdinov, Alan W. Black, 2018, ArXiv.

One shot learning of simple visual concepts

Joshua B. Tenenbaum, Ruslan Salakhutdinov, Brenden M. Lake, 2011, CogSci.

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

Ruslan Salakhutdinov, Nathan Srebro, Behnam Neyshabur, 2015, NIPS.

Cardinality Restricted Boltzmann Machines

Ryan P. Adams, Ruslan Salakhutdinov, Richard S. Zemel, 2012, NIPS.

Neural Methods for Point-wise Dependency Estimation pdf

Makoto Yamada, Ruslan Salakhutdinov, Louis-Philippe Morency, 2020, NeurIPS.

On Exact Computation with an Infinitely Wide Neural Net

Ruosong Wang, Wei Hu, Sanjeev Arora, 2019, NeurIPS.

A Better Way to Pretrain Deep Boltzmann Machines

Geoffrey E. Hinton, Ruslan Salakhutdinov, R. Salakhutdinov, 2012, NIPS.

Structured Control Nets for Deep Reinforcement Learning pdf

Jian Zhang, Ruslan Salakhutdinov, Mario Srouji, 2018, ICML.

Stochastic Variational Deep Kernel Learning

Andrew Gordon Wilson, Eric P. Xing, Zhiting Hu, 2016, NIPS.

An Efficient Learning Procedure for Deep Boltzmann Machines

Geoffrey E. Hinton, Ruslan Salakhutdinov, R. Salakhutdinov, 2012, Neural Computation.

Feature Robust Optimal Transport for High-dimensional Data pdf

Makoto Yamada, Yi Yang, Ruslan Salakhutdinov, 2020, ArXiv.

How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network

Ruslan Salakhutdinov, Yining Wang, Simon S. Du, 2018 .

Worst Cases Policy Gradients

Ruslan Salakhutdinov, Jian Zhang, Yichuan Charlie Tang, 2019, CoRL.

Simultaneous Localization and Surveying with Multiple Agents

Ruslan Salakhutdinov, Sam T. Roweis, R. Salakhutdinov, 2003, European Summer School on Multi-AgentControl.

Selecting the Best in GANs Family: a Post Selection Inference Framework pdf

Kenji Fukumizu, Makoto Yamada, Ruslan Salakhutdinov, 2018, ICLR.

A Comparative Study of Word Embeddings for Reading Comprehension pdf

Ruslan Salakhutdinov, William W. Cohen, Hanxiao Liu, 2017, ArXiv.

Global Pose Estimation with an Attention-Based Recurrent Network

Jian Zhang, Ruslan Salakhutdinov, Emilio Parisotto, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Gated-Attention Architectures for Task-Oriented Language Grounding

Ruslan Salakhutdinov, Devendra Singh Chaplot, Dheeraj Rajagopal, 2017, AAAI.

Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure

Geoffrey E. Hinton, Ruslan Salakhutdinov, R. Salakhutdinov, 2007, AISTATS.

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator

Kenji Fukumizu, Makoto Yamada, Ruslan Salakhutdinov, 2018, ICLR.

ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers pdf

Ruslan Salakhutdinov, William W. Cohen, Haitian Sun, 2021, ACL.

Robust Predictable Control pdf

Sergey Levine, Ruslan Salakhutdinov, Benjamin Eysenbach, 2021, NeurIPS.

From Differentiable Reasoning to Self-supervised Embodied Active Learning

Ruslan Salakhutdinov, R. Salakhutdinov, 2021, ICMI.

Recurrent Model-Free RL is a Strong Baseline for Many POMDPs pdf

Ruslan Salakhutdinov, Benjamin Eysenbach, Tianwei Ni, 2021, ArXiv.

A Note on Connecting Barlow Twins with Negative-Sample-Free Contrastive Learning pdf

Ruslan Salakhutdinov, Louis-Philippe Morency, Yao-Hung Hubert Tsai, 2021, ArXiv.

Understanding the Tradeoffs in Client-side Privacy for Downstream Speech Tasks

Shinji Watanabe, Ruslan Salakhutdinov, Louis-Philippe Morency, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Towards Understanding and Mitigating Social Biases in Language Models

Ruslan Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang, 2021, ICML.

On Proximal Policy Optimization's Heavy-tailed Gradients

Sivaraman Balakrishnan, Pradeep Ravikumar, Ruslan Salakhutdinov, 2021, ICML.

Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification pdf

Sergey Levine, Ruslan Salakhutdinov, Benjamin Eysenbach, 2021, NeurIPS.

Case Study: Deontological Ethics in NLP pdf

Alan W Black, Ruslan Salakhutdinov, Shrimai Prabhumoye, 2020, NAACL.

Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data pdf

Michal Muszynski, Ruslan Salakhutdinov, Louis-Philippe Morency, 2021, ACL.

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

Ruslan Salakhutdinov, Yao-Hung Hubert Tsai, Wei-Ning Hsu, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency pdf

Ruslan Salakhutdinov, Jitendra Malik, Saurabh Gupta, 2021, NeurIPS.

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning pdf

Yuke Zhu, Ruslan Salakhutdinov, Louis-Philippe Morency, 2021, NeurIPS Datasets and Benchmarks.

FILM: Following Instructions in Language with Modular Methods pdf

Pradeep Ravikumar, Ruslan Salakhutdinov, Devendra Singh Chaplot, 2021, ArXiv.

Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation pdf

Ruslan Salakhutdinov, Emilio Parisotto, R. Salakhutdinov, 2021, ICLR.

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Nitish Srivastava, Ruslan Salakhutdinov, Hanlin Goh, 2021, ICML.

Hubert: How Much Can a Bad Teacher Benefit ASR Pre-Training?

Ruslan Salakhutdinov, Abdel-rahman Mohamed, Yao-Hung Tsai, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks pdf

Sergey Levine, Ruslan Salakhutdinov, Tianjun Zhang, 2021, ICLR.

StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer pdf

Eduard Hovy, Ruslan Salakhutdinov, Louis-Philippe Morency, 2021, NAACL.

Self-supervised Representation Learning with Relative Predictive Coding pdf

Ruslan Salakhutdinov, Louis-Philippe Morency, Han Zhao, 2021, ICLR.

C-Learning: Learning to Achieve Goals via Recursive Classification pdf

Sergey Levine, Ruslan Salakhutdinov, Benjamin Eysenbach, 2020, ICLR.

Multimodal Speech Summarization Through Semantic Concept Learning

Florian Metze, Ruslan Salakhutdinov, Shruti Palaskar, 2021, Interspeech.

Iterative Hierarchical Attention for Answering Complex Questions over Long Documents

Ruslan Salakhutdinov, William W. Cohen, Haitian Sun, 2021, 2106.00200.