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Multiplicative and Fine-grained Gating for Reading Comprehension
Russ Salakhutdinov
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Russ Salakhutdinov (Carnegie Mellon University)
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2021 : MultiBench: Multiscale Benchmarks for Multimodal Representation Learning »
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2023 Poster: SPRING: Studying Papers and Reasoning to play Games »
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2023 Poster: Factorized Contrastive Learning: Going Beyond Multi-view Redundancy »
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2022 Poster: Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks »
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2022 Poster: Paraphrasing Is All You Need for Novel Object Captioning »
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2021 Oral: Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification »
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2021 Poster: SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency »
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2021 : Diamond: A MineRL Competition on Training Sample-Efficient Agents + Q&A »
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2020 : Panel Discussion & Closing »
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2020 : QA: Ruslan Salakhutdinov »
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2020 : Invited Talk: Ruslan Salakhutdinov »
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2020 Poster: Weakly-Supervised Reinforcement Learning for Controllable Behavior »
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2020 Poster: Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement »
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2020 Poster: A Closer Look at Accuracy vs. Robustness »
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2020 Poster: Planning with General Objective Functions: Going Beyond Total Rewards »
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2020 Oral: Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement »
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2020 Poster: On Reward-Free Reinforcement Learning with Linear Function Approximation »
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2020 Poster: Neural Methods for Point-wise Dependency Estimation »
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2020 Poster: Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension »
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2019 : Contributed Session - Spotlight Talks »
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2019 : Poster Presentations »
Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange -
2019 : Lunch Break and Posters »
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2019 : Opening Remarks »
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2019 Workshop: Sets and Partitions »
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2019 Workshop: Learning with Rich Experience: Integration of Learning Paradigms »
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2019 Poster: XLNet: Generalized Autoregressive Pretraining for Language Understanding »
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2019 Poster: Deep Gamblers: Learning to Abstain with Portfolio Theory »
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2018 Poster: How Many Samples are Needed to Estimate a Convolutional Neural Network? »
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2018 Poster: Deep Generative Models with Learnable Knowledge Constraints »
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2018 Poster: GLoMo: Unsupervised Learning of Transferable Relational Graphs »
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2017 : Deep Kernel Learning »
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2017 Workshop: Deep Learning: Bridging Theory and Practice »
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2017 Oral: Deep Sets »
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2017 Poster: Deep Sets »
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2017 Poster: Good Semi-supervised Learning That Requires a Bad GAN »
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2016 : Panel Discussion »
Gisbert Schneider · Ross E Goodwin · Simon Colton · Russ Salakhutdinov · Thorsten Joachims · Florian Pinel -
2016 Poster: Architectural Complexity Measures of Recurrent Neural Networks »
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2016 Poster: Iterative Refinement of the Approximate Posterior for Directed Belief Networks »
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2016 Poster: Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations »
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2016 Poster: On Multiplicative Integration with Recurrent Neural Networks »
Yuhuai Wu · Saizheng Zhang · Ying Zhang · Yoshua Bengio · Russ Salakhutdinov -
2016 Poster: Review Networks for Caption Generation »
Zhilin Yang · Ye Yuan · Yuexin Wu · William Cohen · Russ Salakhutdinov -
2016 Poster: Stochastic Variational Deep Kernel Learning »
Andrew Wilson · Zhiting Hu · Russ Salakhutdinov · Eric Xing -
2015 : Importance Weighted Autoencoders »
Russ Salakhutdinov -
2015 : Generating Images from Captions with Attention »
Russ Salakhutdinov -
2015 Poster: Skip-Thought Vectors »
Jamie Kiros · Yukun Zhu · Russ Salakhutdinov · Richard Zemel · Raquel Urtasun · Antonio Torralba · Sanja Fidler -
2015 Poster: Learning Wake-Sleep Recurrent Attention Models »
Jimmy Ba · Russ Salakhutdinov · Roger Grosse · Brendan J Frey -
2015 Spotlight: Learning Wake-Sleep Recurrent Attention Models »
Jimmy Ba · Russ Salakhutdinov · Roger Grosse · Brendan J Frey -
2015 Poster: Path-SGD: Path-Normalized Optimization in Deep Neural Networks »
Behnam Neyshabur · Russ Salakhutdinov · Nati Srebro -
2014 Poster: Learning Generative Models with Visual Attention »
Yichuan Charlie Tang · Nitish Srivastava · Russ Salakhutdinov -
2014 Poster: A Multiplicative Model for Learning Distributed Text-Based Attribute Representations »
Jamie Kiros · Richard Zemel · Russ Salakhutdinov -
2014 Demonstration: Toronto Deep Learning »
Jamie Kiros · Russ Salakhutdinov · Nitish Srivastava · Yichuan Charlie Tang -
2014 Oral: Learning Generative Models with Visual Attention »
Yichuan Charlie Tang · Nitish Srivastava · Russ Salakhutdinov -
2013 Workshop: Deep Learning »
Yoshua Bengio · Hugo Larochelle · Russ Salakhutdinov · Tomas Mikolov · Matthew D Zeiler · David Mcallester · Nando de Freitas · Josh Tenenbaum · Jian Zhou · Volodymyr Mnih -
2013 Poster: One-shot learning by inverting a compositional causal process »
Brenden M Lake · Russ Salakhutdinov · Josh Tenenbaum -
2013 Poster: Learning Stochastic Feedforward Neural Networks »
Yichuan Charlie Tang · Russ Salakhutdinov -
2013 Poster: Discriminative Transfer Learning with Tree-based Priors »
Nitish Srivastava · Russ Salakhutdinov -
2013 Poster: Annealing between distributions by averaging moments »
Roger Grosse · Chris Maddison · Russ Salakhutdinov -
2013 Oral: Annealing between distributions by averaging moments »
Roger Grosse · Chris Maddison · Russ Salakhutdinov -
2013 Poster: The Power of Asymmetry in Binary Hashing »
Behnam Neyshabur · Nati Srebro · Russ Salakhutdinov · Yury Makarychev · Payman Yadollahpour -
2012 Poster: Hamming Distance Metric Learning »
Mohammad Norouzi · Russ Salakhutdinov · David Fleet -
2012 Poster: Matrix reconstruction with the local max norm »
Rina Foygel · Nati Srebro · Russ Salakhutdinov -
2012 Poster: Multimodal Learning with Deep Boltzmann Machines »
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Russ Salakhutdinov · Geoffrey E Hinton -
2012 Oral: Multimodal Learning with Deep Boltzmann Machines »
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Kevin Swersky · Danny Tarlow · Ilya Sutskever · Richard Zemel · Russ Salakhutdinov · Ryan Adams -
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Quoc V. Le · Marc'Aurelio Ranzato · Russ Salakhutdinov · Josh Tenenbaum · Andrew Y Ng -
2011 Poster: Learning to Learn with Compound HD Models »
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2011 Spotlight: Learning to Learn with Compound HD Models »
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Joseph Lim · Russ Salakhutdinov · Antonio Torralba -
2010 Workshop: Transfer Learning Via Rich Generative Models. »
Russ Salakhutdinov · Ryan Adams · Josh Tenenbaum · Zoubin Ghahramani · Tom Griffiths -
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2010 Poster: Practical Large-Scale Optimization for Max-norm Regularization »
Jason D Lee · Benjamin Recht · Russ Salakhutdinov · Nati Srebro · Joel A Tropp -
2009 Workshop: Approximate Learning of Large Scale Graphical Models »
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2009 Poster: Learning in Markov Random Fields using Tempered Transitions »
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2009 Poster: Modelling Relational Data using Bayesian Clustered Tensor Factorization »
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2008 Poster: Evaluating probabilities under high-dimensional latent variable models »
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2007 Oral: Probabilistic Matrix Factorization »
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2007 Poster: Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes »
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