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Wandering Within a World: Online Contextualized Few-Shot Learning

Jul 09, 2020
Mengye Ren, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel


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Efficient Graph Generation with Graph Recurrent Attention Networks

Oct 02, 2019
Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel

* Neural Information Processing Systems (NeurIPS) 2019 

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LanczosNet: Multi-Scale Deep Graph Convolutional Networks

Jan 06, 2019
Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel

* The International Conference on Learning Representations (ICLR) 2019 

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Incremental Few-Shot Learning with Attention Attractor Networks

Oct 16, 2018
Mengye Ren, Renjie Liao, Ethan Fetaya, Richard S. Zemel


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Meta-Learning for Semi-Supervised Few-Shot Classification

Mar 02, 2018
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richard S. Zemel

* Published as a conference paper at ICLR 2018. 15 pages 

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End-to-End Instance Segmentation with Recurrent Attention

Jul 13, 2017
Mengye Ren, Richard S. Zemel

* CVPR 2017 

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Prototypical Networks for Few-shot Learning

Jun 19, 2017
Jake Snell, Kevin Swersky, Richard S. Zemel


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Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes

Mar 06, 2017
Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel

* Published as a conference paper at ICLR 2017 

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Learning to Generate Images with Perceptual Similarity Metrics

Jan 24, 2017
Jake Snell, Karl Ridgeway, Renjie Liao, Brett D. Roads, Michael C. Mozer, Richard S. Zemel


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Training Deep Neural Networks via Direct Loss Minimization

Jun 02, 2016
Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun

* ICML2016 

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Skip-Thought Vectors

Jun 22, 2015
Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler

* 11 pages 

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Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

Nov 10, 2014
Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel

* 13 pages. NIPS 2014 deep learning workshop 

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Input Warping for Bayesian Optimization of Non-stationary Functions

Jun 11, 2014
Jasper Snoek, Kevin Swersky, Richard S. Zemel, Ryan P. Adams


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A Multiplicative Model for Learning Distributed Text-Based Attribute Representations

Jun 10, 2014
Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov

* 11 pages. An earlier version was accepted to the ICML-2014 Workshop on Knowledge-Powered Deep Learning for Text Mining 

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Efficient Parametric Projection Pursuit Density Estimation

Oct 19, 2012
Max Welling, Richard S. Zemel, Geoffrey E. Hinton

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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Active Collaborative Filtering

Oct 19, 2012
Craig Boutilier, Richard S. Zemel, Benjamin Marlin

* Appears in Proceedings of the Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI2003) 

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Fast Exact Inference for Recursive Cardinality Models

Oct 16, 2012
Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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Collaborative Filtering and the Missing at Random Assumption

Jun 20, 2012
Benjamin Marlin, Richard S. Zemel, Sam Roweis, Malcolm Slaney

* Appears in Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (UAI2007) 

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Flexible Priors for Exemplar-based Clustering

Jun 13, 2012
Daniel Tarlow, Richard S. Zemel, Brendan J. Frey

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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A Framework for Optimizing Paper Matching

Feb 14, 2012
Laurent Charlin, Richard S. Zemel, Craig Boutilier


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Loss-sensitive Training of Probabilistic Conditional Random Fields

Jul 09, 2011
Maksims N. Volkovs, Hugo Larochelle, Richard S. Zemel


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Ranking via Sinkhorn Propagation

Jun 14, 2011
Ryan Prescott Adams, Richard S. Zemel

* Submitted 

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Interpreting Graph Cuts as a Max-Product Algorithm

May 05, 2011
Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel, Brendan J. Frey


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