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Predicting Unreliable Predictions by Shattering a Neural Network


Jun 15, 2021
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio


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Pretraining Representations for Data-Efficient Reinforcement Learning


Jun 09, 2021
Max Schwarzer, Nitarshan Rajkumar, Michael Noukhovitch, Ankesh Anand, Laurent Charlin, Devon Hjelm, Philip Bachman, Aaron Courville


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Cross-Modal Information Maximization for Medical Imaging: CMIM


Oct 20, 2020
Tristan Sylvain, Francis Dutil, Tess Berthier, Lisa Di Jorio, Margaux Luck, Devon Hjelm, Yoshua Bengio


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Locality and compositionality in zero-shot learning


Dec 20, 2019
Tristan Sylvain, Linda Petrini, Devon Hjelm

* Published at ICLR 2020 

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Keep Drawing It: Iterative language-based image generation and editing


Nov 24, 2018
Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor


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GibbsNet: Iterative Adversarial Inference for Deep Graphical Models


Dec 12, 2017
Alex Lamb, Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron Courville, Yoshua Bengio

* NIPS 2017 

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