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Building effective deep neural network architectures one feature at a time

Oct 19, 2017
Martin Mundt, Tobias Weis, Kishore Konda, Visvanathan Ramesh


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Dropout as data augmentation

Jan 08, 2016
Xavier Bouthillier, Kishore Konda, Pascal Vincent, Roland Memisevic


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How far can we go without convolution: Improving fully-connected networks

Nov 09, 2015
Zhouhan Lin, Roland Memisevic, Kishore Konda

* 10 pages, 11 figures, submitted for ICLR 2016 

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Zero-bias autoencoders and the benefits of co-adapting features

Apr 08, 2015
Kishore Konda, Roland Memisevic, David Krueger


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EmoNets: Multimodal deep learning approaches for emotion recognition in video

Mar 30, 2015
Samira Ebrahimi Kahou, Xavier Bouthillier, Pascal Lamblin, Caglar Gulcehre, Vincent Michalski, Kishore Konda, Sébastien Jean, Pierre Froumenty, Yann Dauphin, Nicolas Boulanger-Lewandowski, Raul Chandias Ferrari, Mehdi Mirza, David Warde-Farley, Aaron Courville, Pascal Vincent, Roland Memisevic, Christopher Pal, Yoshua Bengio


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Modeling sequential data using higher-order relational features and predictive training

Feb 10, 2014
Vincent Michalski, Roland Memisevic, Kishore Konda


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Unsupervised learning of depth and motion

Dec 16, 2013
Kishore Konda, Roland Memisevic


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