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Yann Dauphin

Universite de Montreal

Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral


Aug 25, 2021
Lucio M. Dery, Yann Dauphin, David Grangier

* 15 pages, 3 figures, Accepted to International Conference on Learning Representations (ICLR) 2021 See https://github.com/ldery/ATTITTUD}{https://github.com/ldery/ATTITTUD for associated code 

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Continental-Scale Building Detection from High Resolution Satellite Imagery


Jul 29, 2021
Wojciech Sirko, Sergii Kashubin, Marvin Ritter, Abigail Annkah, Yasser Salah Eddine Bouchareb, Yann Dauphin, Daniel Keysers, Maxim Neumann, Moustapha Cisse, John Quinn


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Temperature check: theory and practice for training models with softmax-cross-entropy losses


Oct 14, 2020
Atish Agarwala, Jeffrey Pennington, Yann Dauphin, Sam Schoenholz


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Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win


Oct 07, 2020
Utku Evci, Yani A. Ioannou, Cem Keskin, Yann Dauphin

* sparse training, sparsity, pruning, lottery ticket hypothesis, lottery tickets, sparse initialization, initialization, deep learning, gradient flow 

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Robust and On-the-fly Dataset Denoising for Image Classification


Apr 09, 2020
Jiaming Song, Lunjia Hu, Michael Auli, Yann Dauphin, Tengyu Ma


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Selective Brain Damage: Measuring the Disparate Impact of Model Pruning


Nov 13, 2019
Sara Hooker, Aaron Courville, Yann Dauphin, Andrea Frome


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On the Pitfalls of Measuring Emergent Communication


Mar 12, 2019
Ryan Lowe, Jakob Foerster, Y-Lan Boureau, Joelle Pineau, Yann Dauphin

* AAMAS 2019. 13 pages 

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Strategies for Structuring Story Generation


Feb 04, 2019
Angela Fan, Mike Lewis, Yann Dauphin


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Hierarchical Neural Story Generation


May 13, 2018
Angela Fan, Mike Lewis, Yann Dauphin


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Empirical Analysis of the Hessian of Over-Parametrized Neural Networks


May 07, 2018
Levent Sagun, Utku Evci, V. Ugur Guney, Yann Dauphin, Leon Bottou

* Minor update for ICLR 2018 Workshop Track presentation 

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Tackling Over-pruning in Variational Autoencoders


Aug 07, 2017
Serena Yeung, Anitha Kannan, Yann Dauphin, Li Fei-Fei


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Parseval Networks: Improving Robustness to Adversarial Examples


May 02, 2017
Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, Nicolas Usunier

* submitted 

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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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Identifying and attacking the saddle point problem in high-dimensional non-convex optimization


Jun 10, 2014
Yann Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio

* The theoretical review and analysis in this article draw heavily from arXiv:1405.4604 [cs.LG] 

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Better Mixing via Deep Representations


Jul 18, 2012
Yoshua Bengio, Grégoire Mesnil, Yann Dauphin, Salah Rifai


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A Generative Process for Sampling Contractive Auto-Encoders


Jun 27, 2012
Salah Rifai, Yoshua Bengio, Yann Dauphin, Pascal Vincent

* Appears in Proceedings of the 29th International Conference on Machine Learning (ICML 2012) 

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