Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Negar Rostamzadeh

Negar Rostamzadeh

Deep Cox Mixtures for Survival Regression

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

Figure 1 for Deep Cox Mixtures for Survival Regression

Figure 2 for Deep Cox Mixtures for Survival Regression

Figure 3 for Deep Cox Mixtures for Survival Regression

Figure 4 for Deep Cox Mixtures for Survival Regression

* NeurIPS Machine Learning for Health Workshop (ML4H) 2020

Access Paper or Ask Questions

A Few-Shot Sequential Approach for Object Counting

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

Figure 1 for A Few-Shot Sequential Approach for Object Counting

Figure 2 for A Few-Shot Sequential Approach for Object Counting

Figure 3 for A Few-Shot Sequential Approach for Object Counting

Figure 4 for A Few-Shot Sequential Approach for Object Counting

Access Paper or Ask Questions

Reinforced active learning for image segmentation

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

Figure 1 for Reinforced active learning for image segmentation

Figure 2 for Reinforced active learning for image segmentation

Figure 3 for Reinforced active learning for image segmentation

Figure 4 for Reinforced active learning for image segmentation

* Accepted to ICLR2020

Access Paper or Ask Questions

Neural Multisensory Scene Inference

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

Figure 1 for Neural Multisensory Scene Inference

Figure 2 for Neural Multisensory Scene Inference

Figure 3 for Neural Multisensory Scene Inference

Figure 4 for Neural Multisensory Scene Inference

Access Paper or Ask Questions

Instance Segmentation with Point Supervision

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

Figure 1 for Instance Segmentation with Point Supervision

Figure 2 for Instance Segmentation with Point Supervision

Figure 3 for Instance Segmentation with Point Supervision

Figure 4 for Instance Segmentation with Point Supervision

Access Paper or Ask Questions

Reinforced Imitation in Heterogeneous Action Space

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

Figure 1 for Reinforced Imitation in Heterogeneous Action Space

Figure 2 for Reinforced Imitation in Heterogeneous Action Space

Figure 3 for Reinforced Imitation in Heterogeneous Action Space

Figure 4 for Reinforced Imitation in Heterogeneous Action Space

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

Access Paper or Ask Questions

Towards Standardization of Data Licenses: The Montreal Data License

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

Access Paper or Ask Questions

Adaptive Cross-Modal Few-Shot Learning

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

Figure 1 for Adaptive Cross-Modal Few-Shot Learning

Figure 2 for Adaptive Cross-Modal Few-Shot Learning

Figure 3 for Adaptive Cross-Modal Few-Shot Learning

Figure 4 for Adaptive Cross-Modal Few-Shot Learning

Access Paper or Ask Questions

Adversarial Framing for Image and Video Classification

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

Figure 1 for Adversarial Framing for Image and Video Classification

Figure 2 for Adversarial Framing for Image and Video Classification

Figure 3 for Adversarial Framing for Image and Video Classification

Figure 4 for Adversarial Framing for Image and Video Classification

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

Access Paper or Ask Questions

Learning Single-View 3D Reconstruction with Adversarial Training

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

Figure 1 for Learning Single-View 3D Reconstruction with Adversarial Training

Figure 2 for Learning Single-View 3D Reconstruction with Adversarial Training

Figure 3 for Learning Single-View 3D Reconstruction with Adversarial Training

Figure 4 for Learning Single-View 3D Reconstruction with Adversarial Training

Access Paper or Ask Questions

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

Figure 1 for Where are the Blobs: Counting by Localization with Point Supervision

Figure 2 for Where are the Blobs: Counting by Localization with Point Supervision

Figure 3 for Where are the Blobs: Counting by Localization with Point Supervision

Figure 4 for Where are the Blobs: Counting by Localization with Point Supervision

Access Paper or Ask Questions

Hierarchical Adversarially Learned Inference

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

Figure 1 for Hierarchical Adversarially Learned Inference

Figure 2 for Hierarchical Adversarially Learned Inference

Figure 3 for Hierarchical Adversarially Learned Inference

Figure 4 for Hierarchical Adversarially Learned Inference

* 18 pages, 7 figures

Access Paper or Ask Questions

Deep Prior

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

Figure 1 for Deep Prior

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

Access Paper or Ask Questions