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Deep Cox Mixtures for Survival Regression


Jan 16, 2021
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller

* NeurIPS Machine Learning for Health Workshop (ML4H) 2020 

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A Few-Shot Sequential Approach for Object Counting


Jul 07, 2020
Negin Sokhandan, Pegah Kamousi, Alejandro Posada, Eniola Alese, Negar Rostamzadeh


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Reinforced active learning for image segmentation


Feb 16, 2020
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal

* Accepted to ICLR2020 

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Neural Multisensory Scene Inference


Nov 08, 2019
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher Pal, Sungjin Ahn


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Instance Segmentation with Point Supervision


Jun 14, 2019
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt


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Reinforced Imitation in Heterogeneous Action Space


Apr 06, 2019
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro

* The extended version of the work "Reinforced Imitation Learning from Observations" presented on the NeurIPS workshop "Imitation Learning and its Challenges in Robotics" 

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Towards Standardization of Data Licenses: The Montreal Data License


Mar 21, 2019
Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio, Alex Shee


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Adaptive Cross-Modal Few-Shot Learning


Feb 19, 2019
Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro


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Adversarial Framing for Image and Video Classification


Dec 11, 2018
Michał Zając, Konrad Żołna, Negar Rostamzadeh, Pedro O. Pinheiro

* This is an extended version of the paper that will be published at AAAI 2019 

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Learning Single-View 3D Reconstruction with Adversarial Training


Dec 04, 2018
Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn


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Fashion-Gen: The Generative Fashion Dataset and Challenge


Jul 30, 2018
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal


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Where are the Blobs: Counting by Localization with Point Supervision


Jul 25, 2018
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vazquez, Mark Schmidt


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Uncertainty in Multitask Transfer Learning


Jul 06, 2018
Alexandre Lacoste, Boris Oreshkin, Wonchang Chung, Thomas Boquet, Negar Rostamzadeh, David Krueger


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Deep Complex Networks


Feb 25, 2018
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J Pal


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Hierarchical Adversarially Learned Inference


Feb 04, 2018
Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron Courville

* 18 pages, 7 figures 

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Deep Prior


Dec 16, 2017
Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh, Boris Oreshkin, Wonchang Chung, David Krueger

* Workshop paper, Accepted at Bayesian Deep Learning workshop, NIPS 2017 

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