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Wandering Within a World: Online Contextualized Few-Shot Learning



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


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Efficient Graph Generation with Graph Recurrent Attention Networks



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



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



Mengye Ren , Renjie Liao , Ethan Fetaya , Richard S. Zemel


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Meta-Learning for Semi-Supervised Few-Shot Classification



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



Mengye Ren , Richard S. Zemel

* CVPR 2017 

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Prototypical Networks for Few-shot Learning



Jake Snell , Kevin Swersky , Richard S. Zemel


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Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes



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



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



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

* ICML2016 

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