Related Events (a corresponding poster, oral, or spotlight)

• 2007 Oral: Probabilistic Matrix Factorization »
  Tue. Dec 4th 05:30 -- 05:50 PM Room

More from the Same Authors

• 2021 : MultiBench: Multiscale Benchmarks for Multimodal Representation Learning »
  Paul Pu Liang · Yiwei Lyu · Xiang Fan · Zetian Wu · Yun Cheng · Jason Wu · Leslie (Yufan) Chen · Peter Wu · Michelle A. Lee · Yuke Zhu · Ruslan Salakhutdinov · Louis-Philippe Morency
• 2021 Spotlight: Robust Predictable Control »
  Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
• 2021 : C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks »
  Tianjun Zhang · Ben Eysenbach · Russ Salakhutdinov · Sergey Levine · Joseph Gonzalez
• 2021 : The Information Geometry of Unsupervised Reinforcement Learning »
  Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
• 2021 : Mismatched No More: Joint Model-Policy Optimization for Model-Based RL »
  Ben Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
• 2021 : Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives »
  Murtaza Dalal · Deepak Pathak · Russ Salakhutdinov
• 2022 : Tackling AlfWorld with Action Attention and Common Sense from Language Models »
  Yue Wu · So Yeon Min · Yonatan Bisk · Russ Salakhutdinov · Shrimai Prabhumoye
• 2022 : Contrastive Example-Based Control »
  Kyle Hatch · Sarthak J Shetty · Benjamin Eysenbach · Tianhe Yu · Rafael Rafailov · Russ Salakhutdinov · Sergey Levine · Chelsea Finn
• 2022 : A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning »
  Benjamin Eysenbach · Matthieu Geist · Sergey Levine · Russ Salakhutdinov
• 2022 : Contrastive Example-Based Control »
  Kyle Hatch · Sarthak J Shetty · Benjamin Eysenbach · Tianhe Yu · Rafael Rafailov · Russ Salakhutdinov · Sergey Levine · Chelsea Finn
• 2022 : A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning »
  Benjamin Eysenbach · Matthieu Geist · Russ Salakhutdinov · Sergey Levine
• 2022 : Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective »
  Raj Ghugare · Homanga Bharadhwaj · Benjamin Eysenbach · Sergey Levine · Ruslan Salakhutdinov
• 2022 : MultiViz: Towards Visualizing and Understanding Multimodal Models »
  Paul Pu Liang · · Gunjan Chhablani · Nihal Jain · Zihao Deng · Xingbo Wang · Louis-Philippe Morency · Ruslan Salakhutdinov
• 2022 : Nano: Nested Human-in-the-Loop Reward Learning for Controlling Distribution of Generated Text »
  Xiang Fan · · Paul Pu Liang · Ruslan Salakhutdinov · Louis-Philippe Morency
• 2022 Poster: Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks »
  Minji Yoon · John Palowitch · Dustin Zelle · Ziniu Hu · Ruslan Salakhutdinov · Bryan Perozzi
• 2022 Poster: Paraphrasing Is All You Need for Novel Object Captioning »
  Cheng-Fu Yang · Yao-Hung Hubert Tsai · Wan-Cyuan Fan · Russ Salakhutdinov · Louis-Philippe Morency · Frank Wang
• 2022 Poster: Mismatched No More: Joint Model-Policy Optimization for Model-Based RL »
  Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
• 2022 Poster: Contrastive Learning as Goal-Conditioned Reinforcement Learning »
  Benjamin Eysenbach · Tianjun Zhang · Sergey Levine · Russ Salakhutdinov
• 2022 Poster: Imitating Past Successes can be Very Suboptimal »
  Benjamin Eysenbach · Soumith Udatha · Russ Salakhutdinov · Sergey Levine
• 2021 Oral: Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification »
  Ben Eysenbach · Sergey Levine · Russ Salakhutdinov
• 2021 Poster: Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives »
  Murtaza Dalal · Deepak Pathak · Russ Salakhutdinov
• 2021 Poster: Robust Predictable Control »
  Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
• 2021 Poster: SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency »
  Devendra Singh Chaplot · Murtaza Dalal · Saurabh Gupta · Jitendra Malik · Russ Salakhutdinov
• 2021 Poster: Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification »
  Ben Eysenbach · Sergey Levine · Russ Salakhutdinov
• 2021 : Diamond: A MineRL Competition on Training Sample-Efficient Agents + Q&A »
  William Guss · Alara Dirik · Byron Galbraith · Brandon Houghton · Anssi Kanervisto · Noboru Kuno · Stephanie Milani · Sharada Mohanty · Karolis Ramanauskas · Ruslan Salakhutdinov · Rohin Shah · Nicholay Topin · Steven Wang · Cody Wild
• 2020 : Panel Discussion & Closing »
  Yejin Choi · Alexei Efros · Chelsea Finn · Kristen Grauman · Quoc V Le · Yann LeCun · Ruslan Salakhutdinov · Eric Xing
• 2020 : QA: Ruslan Salakhutdinov »
  Ruslan Salakhutdinov
• 2020 : Invited Talk: Ruslan Salakhutdinov »
  Ruslan Salakhutdinov
• 2020 Poster: Weakly-Supervised Reinforcement Learning for Controllable Behavior »
  Lisa Lee · Benjamin Eysenbach · Russ Salakhutdinov · Shixiang (Shane) Gu · Chelsea Finn
• 2020 Poster: Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement »
  Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov
• 2020 Poster: A Closer Look at Accuracy vs. Robustness »
  Yao-Yuan Yang · Cyrus Rashtchian · Hongyang Zhang · Russ Salakhutdinov · Kamalika Chaudhuri
• 2020 Poster: Planning with General Objective Functions: Going Beyond Total Rewards »
  Ruosong Wang · Peilin Zhong · Simon Du · Russ Salakhutdinov · Lin Yang
• 2020 Oral: Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement »
  Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov
• 2020 Poster: On Reward-Free Reinforcement Learning with Linear Function Approximation »
  Ruosong Wang · Simon Du · Lin Yang · Russ Salakhutdinov
• 2020 Poster: Object Goal Navigation using Goal-Oriented Semantic Exploration »
  Devendra Singh Chaplot · Dhiraj Prakashchand Gandhi · Abhinav Gupta · Russ Salakhutdinov
• 2020 Poster: Neural Methods for Point-wise Dependency Estimation »
  Yao-Hung Hubert Tsai · Han Zhao · Makoto Yamada · Louis-Philippe Morency · Russ Salakhutdinov
• 2020 Poster: Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension »
  Ruosong Wang · Russ Salakhutdinov · Lin Yang
• 2020 Spotlight: Neural Methods for Point-wise Dependency Estimation »
  Yao-Hung Hubert Tsai · Han Zhao · Makoto Yamada · Louis-Philippe Morency · Russ Salakhutdinov
• 2019 : Contributed Session - Spotlight Talks »
  Jonathan Frankle · David Schwab · Ari Morcos · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · YiDing Jiang · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Sho Yaida · Muqiao Yang
• 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 »
  Xingyou Song · Elad Hoffer · Wei-Cheng Chang · Jeremy Cohen · Jyoti Islam · Yaniv Blumenfeld · Andreas Madsen · Jonathan Frankle · Sebastian Goldt · Satrajit Chatterjee · Abhishek Panigrahi · Alex Renda · Brian Bartoldson · Israel Birhane · Aristide Baratin · Niladri Chatterji · Roman Novak · Jessica Forde · YiDing Jiang · Yilun Du · Linara Adilova · Michael Kamp · Berry Weinstein · Itay Hubara · Tal Ben-Nun · Torsten Hoefler · Daniel Soudry · Hsiang-Fu Yu · Kai Zhong · Yiming Yang · Inderjit Dhillon · Jaime Carbonell · Yanqing Zhang · Dar Gilboa · Johannes Brandstetter · Alexander R Johansen · Gintare Karolina Dziugaite · Raghav Somani · Ari Morcos · Freddie Kalaitzis · Hanie Sedghi · Lechao Xiao · John Zech · Muqiao Yang · Simran Kaur · Qianli Ma · Yao-Hung Hubert Tsai · Ruslan Salakhutdinov · Sho Yaida · Zachary Lipton · Daniel Roy · Michael Carbin · Florent Krzakala · Lenka Zdeborová · Guy Gur-Ari · Ethan Dyer · Dilip Krishnan · Hossein Mobahi · Samy Bengio · Behnam Neyshabur · Praneeth Netrapalli · Kris Sankaran · Julien Cornebise · Yoshua Bengio · Vincent Michalski · Samira Ebrahimi Kahou · Md Rifat Arefin · Jiri Hron · Jaehoon Lee · Jascha Sohl-Dickstein · Samuel Schoenholz · David Schwab · Dongyu Li · Sang Keun Choe · Henning Petzka · Ashish Verma · Zhichao Lin · Cristian Sminchisescu
• 2019 : Opening Remarks »
  Manzil Zaheer · Nicholas Monath · Ari Kobren · Junier Oliva · Barnabas Poczos · Ruslan Salakhutdinov · Andrew McCallum
• 2019 Workshop: Sets and Partitions »
  Nicholas Monath · Manzil Zaheer · Andrew McCallum · Ari Kobren · Junier Oliva · Barnabas Poczos · Ruslan Salakhutdinov
• 2019 Workshop: Learning with Rich Experience: Integration of Learning Paradigms »
  Zhiting Hu · Andrew Wilson · Chelsea Finn · Lisa Lee · Taylor Berg-Kirkpatrick · Ruslan Salakhutdinov · Eric Xing
• 2019 Poster: XLNet: Generalized Autoregressive Pretraining for Language Understanding »
  Zhilin Yang · Zihang Dai · Yiming Yang · Jaime Carbonell · Russ Salakhutdinov · Quoc V Le
• 2019 Oral: XLNet: Generalized Autoregressive Pretraining for Language Understanding »
  Zhilin Yang · Zihang Dai · Yiming Yang · Jaime Carbonell · Russ Salakhutdinov · Quoc V Le
• 2019 Poster: Learning Neural Networks with Adaptive Regularization »
  Han Zhao · Yao-Hung Hubert Tsai · Russ Salakhutdinov · Geoffrey Gordon
• 2019 Poster: Search on the Replay Buffer: Bridging Planning and Reinforcement Learning »
  Benjamin Eysenbach · Russ Salakhutdinov · Sergey Levine
• 2019 Poster: Learning Data Manipulation for Augmentation and Weighting »
  Zhiting Hu · Bowen Tan · Russ Salakhutdinov · Tom Mitchell · Eric Xing
• 2019 Poster: Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels »
  Simon Du · Kangcheng Hou · Russ Salakhutdinov · Barnabas Poczos · Ruosong Wang · Keyulu Xu
• 2019 Poster: Mixtape: Breaking the Softmax Bottleneck Efficiently »
  Zhilin Yang · Thang Luong · Russ Salakhutdinov · Quoc V Le
• 2019 Poster: Deep Gamblers: Learning to Abstain with Portfolio Theory »
  Liu Ziyin · Zhikang Wang · Paul Pu Liang · Russ Salakhutdinov · Louis-Philippe Morency · Masahito Ueda
• 2019 Poster: Multiple Futures Prediction »
  Yichuan Charlie Tang · Russ Salakhutdinov
• 2019 Poster: On Exact Computation with an Infinitely Wide Neural Net »
  Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Russ Salakhutdinov · Ruosong Wang
• 2019 Spotlight: On Exact Computation with an Infinitely Wide Neural Net »
  Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Russ Salakhutdinov · Ruosong Wang
• 2018 Poster: How Many Samples are Needed to Estimate a Convolutional Neural Network? »
  Simon Du · Yining Wang · Xiyu Zhai · Sivaraman Balakrishnan · Russ Salakhutdinov · Aarti Singh
• 2018 Poster: Deep Generative Models with Learnable Knowledge Constraints »
  Zhiting Hu · Zichao Yang · Russ Salakhutdinov · LIANHUI Qin · Xiaodan Liang · Haoye Dong · Eric Xing
• 2018 Poster: GLoMo: Unsupervised Learning of Transferable Relational Graphs »
  Zhilin Yang · Jake Zhao · Bhuwan Dhingra · Kaiming He · William Cohen · Russ Salakhutdinov · Yann LeCun
• 2017 : Deep Kernel Learning »
  Ruslan Salakhutdinov
• 2017 Workshop: Deep Learning: Bridging Theory and Practice »
  Sanjeev Arora · Maithra Raghu · Russ Salakhutdinov · Ludwig Schmidt · Oriol Vinyals
• 2017 Oral: Deep Sets »
  Manzil Zaheer · Satwik Kottur · Siamak Ravanbakhsh · Barnabas Poczos · Ruslan Salakhutdinov · Alexander Smola
• 2017 Poster: Deep Sets »
  Manzil Zaheer · Satwik Kottur · Siamak Ravanbakhsh · Barnabas Poczos · Ruslan Salakhutdinov · Alexander Smola
• 2017 Poster: Good Semi-supervised Learning That Requires a Bad GAN »
  Zihang Dai · Zhilin Yang · Fan Yang · William Cohen · Ruslan Salakhutdinov
• 2016 : Panel Discussion »
  Gisbert Schneider · Ross E Goodwin · Simon Colton · Russ Salakhutdinov · Thorsten Joachims · Florian Pinel
• 2016 : Multiplicative and Fine-grained Gating for Reading Comprehension »
  Russ Salakhutdinov
• 2016 Poster: Architectural Complexity Measures of Recurrent Neural Networks »
  Saizheng Zhang · Yuhuai Wu · Tong Che · Zhouhan Lin · Roland Memisevic · Russ Salakhutdinov · Yoshua Bengio
• 2016 Poster: Iterative Refinement of the Approximate Posterior for Directed Belief Networks »
  R Devon Hjelm · Russ Salakhutdinov · Kyunghyun Cho · Nebojsa Jojic · Vince Calhoun · Junyoung Chung
• 2016 Poster: Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations »
  Behnam Neyshabur · Yuhuai Wu · Russ Salakhutdinov · Nati Srebro
• 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: Learning word embeddings efficiently with noise-contrastive estimation »
  Andriy Mnih · koray kavukcuoglu
• 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: Learning Label Trees for Probabilistic Modelling of Implicit Feedback »
  Andriy Mnih · Yee Whye Teh
• 2012 Poster: Matrix reconstruction with the local max norm »
  Rina Foygel · Nati Srebro · Russ Salakhutdinov
• 2012 Poster: Multimodal Learning with Deep Boltzmann Machines »
  Nitish Srivastava · Russ Salakhutdinov
• 2012 Poster: A Better Way to Pre-Train Deep Boltzmann Machines »
  Russ Salakhutdinov · Geoffrey E Hinton
• 2012 Oral: Multimodal Learning with Deep Boltzmann Machines »
  Nitish Srivastava · Russ Salakhutdinov
• 2012 Poster: Cardinality Restricted Boltzmann Machines »
  Kevin Swersky · Danny Tarlow · Ilya Sutskever · Richard Zemel · Russ Salakhutdinov · Ryan Adams
• 2011 Workshop: Challenges in Learning Hierarchical Models: Transfer Learning and Optimization »
  Quoc V. Le · Marc'Aurelio Ranzato · Russ Salakhutdinov · Josh Tenenbaum · Andrew Y Ng
• 2011 Poster: Learning to Learn with Compound HD Models »
  Russ Salakhutdinov · Josh Tenenbaum · Antonio Torralba
• 2011 Spotlight: Learning to Learn with Compound HD Models »
  Russ Salakhutdinov · Josh Tenenbaum · Antonio Torralba
• 2011 Poster: Learning with the weighted trace-norm under arbitrary sampling distributions »
  Rina Foygel · Russ Salakhutdinov · Ohad Shamir · Nati Srebro
• 2011 Poster: Transfer Learning by Borrowing Examples »
  Joseph Lim · Russ Salakhutdinov · Antonio Torralba
• 2010 Workshop: Transfer Learning Via Rich Generative Models. »
  Russ Salakhutdinov · Ryan Adams · Josh Tenenbaum · Zoubin Ghahramani · Tom Griffiths
• 2010 Poster: Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm »
  Russ Salakhutdinov · Nati Srebro
• 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 »
  Russ Salakhutdinov · Amir Globerson · David Sontag
• 2009 Poster: Replicated Softmax: an Undirected Topic Model »
  Russ Salakhutdinov · Geoffrey E Hinton
• 2009 Poster: Learning in Markov Random Fields using Tempered Transitions »
  Russ Salakhutdinov
• 2009 Poster: Modelling Relational Data using Bayesian Clustered Tensor Factorization »
  Ilya Sutskever · Russ Salakhutdinov · Josh Tenenbaum
• 2008 Poster: A Scalable Hierarchical Distributed Language Model »
  Andriy Mnih · Geoffrey E Hinton
• 2008 Poster: Evaluating probabilities under high-dimensional latent variable models »
  Iain Murray · Russ Salakhutdinov
• 2008 Spotlight: Evaluating probabilities under high-dimensional latent variable models »
  Iain Murray · Russ Salakhutdinov
• 2007 Poster: Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes »
  Russ Salakhutdinov · Geoffrey E Hinton