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On the diminishing return of labeling clinical reports

Oct 27, 2020
Jean-Baptiste Lamare, Tobi Olatunji, Li Yao

* Accepted at the EMNLP 2020 Clinical NLP workshop, 9 pages + 2 for references, 7 figures, 4 tables 

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Learning to estimate label uncertainty for automatic radiology report parsing

Oct 01, 2019
Tobi Olatunji, Li Yao

* Med-NeurIPS-2019 (accepted) 

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Caveats in Generating Medical Imaging Labels from Radiology Reports

May 06, 2019
Tobi Olatunji, Li Yao, Ben Covington, Alexander Rhodes, Anthony Upton

* Accepted workshop contribution for Medical Imaging with Deep Learning (MIDL), 2019 

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A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging

Apr 02, 2019
Li Yao, Jordan Prosky, Ben Covington, Kevin Lyman

* Extended abstract of a journal submission 

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Efficient and Accurate Abnormality Mining from Radiology Reports with Customized False Positive Reduction

Oct 01, 2018
Nithya Attaluri, Ahmed Nasir, Carolynne Powe, Harold Racz, Ben Covington, Li Yao, Jordan Prosky, Eric Poblenz, Tobi Olatunji, Kevin Lyman


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Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions

Mar 21, 2018
Li Yao, Jordan Prosky, Eric Poblenz, Ben Covington, Kevin Lyman

* submitted to ECCV 2018 

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Learning to diagnose from scratch by exploiting dependencies among labels

Feb 01, 2018
Li Yao, Eric Poblenz, Dmitry Dagunts, Ben Covington, Devon Bernard, Kevin Lyman

* include the link for the dataset split 

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Oracle performance for visual captioning

Sep 14, 2016
Li Yao, Nicolas Ballas, Kyunghyun Cho, John R. Smith, Yoshua Bengio

* BMVC2016 (Oral paper) 

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Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

* 19 pages, 5 figures 

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Delving Deeper into Convolutional Networks for Learning Video Representations

Mar 01, 2016
Nicolas Ballas, Li Yao, Chris Pal, Aaron Courville

* ICLR 2016 

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Describing Videos by Exploiting Temporal Structure

Oct 01, 2015
Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle, Aaron Courville

* Accepted to ICCV15. This version comes with code release and supplementary material 

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GSNs : Generative Stochastic Networks

Mar 23, 2015
Guillaume Alain, Yoshua Bengio, Li Yao, Jason Yosinski, Eric Thibodeau-Laufer, Saizheng Zhang, Pascal Vincent

* arXiv admin note: substantial text overlap with arXiv:1306.1091 

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Iterative Neural Autoregressive Distribution Estimator (NADE-k)

Dec 06, 2014
Tapani Raiko, Li Yao, Kyunghyun Cho, Yoshua Bengio

* Accepted at Neural Information Processing Systems (NIPS) 2014 

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On the Equivalence Between Deep NADE and Generative Stochastic Networks

Sep 02, 2014
Li Yao, Sherjil Ozair, Kyunghyun Cho, Yoshua Bengio

* ECML/PKDD 2014 

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Bounding the Test Log-Likelihood of Generative Models

May 09, 2014
Yoshua Bengio, Li Yao, Kyunghyun Cho

* 10 pages, 1 figure, 2 tables. International Conference on Learning Representations (ICLR'2014, conference track) 

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Multimodal Transitions for Generative Stochastic Networks

Jan 24, 2014
Sherjil Ozair, Li Yao, Yoshua Bengio

* 7 figures, 9 pages, submitted to ICLR14 

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Generalized Denoising Auto-Encoders as Generative Models

Nov 11, 2013
Yoshua Bengio, Li Yao, Guillaume Alain, Pascal Vincent


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