Negar Rostamzadeh

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 53

Top Venues

University of Trento, Italy (PHD)

Education History

University of Trento, Italy

PHD

Publications

Renee Shelby, Shalaleh Rismani, Negar Rostamzadeh
Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction. CHI (2024)
Renee Shelby, Ramya Srinivasan, Katharina Burgdorf, Jennifer Lena, Negar Rostamzadeh
Creative ML Assemblages: The Interactive Politics of People, Processes, and Products. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR (2024)
Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR (2024)
Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. CoRR (2024)
Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. AIES (2023)
Atieh Taheri, Mohammad Izadi, Gururaj Shriram, Negar Rostamzadeh, Shaun Kane
Breaking Barriers to Creative Expression: Co-Designing and Implementing an Accessible Text-to-Image Interface. CoRR (2023)
Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio García, Gurleen Virk
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. AIES (2023)
Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh
From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML. CHI (2023)
Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh
Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. CoRR (2023)
Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine Heller, Vinodkumar Prabhakaran
Evaluation Gaps in Machine Learning Practice. FAccT (2022)
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR (2022)
Lindiwe Brigitte Malobola, Negar Rostamzadeh, Shakir Mohamed
se-Shweshwe Inspired Fashion Generation. CoRR (2022)
Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL (2022)
Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti
Inducing bias is simpler than you think. CoRR (2022)
Christian Detweiler, Beth Coleman, Fernando Diaz, Lieke Dom, Chris Donahue, Jesse H. Engel, Cheng-Zhi Anna Huang, Larry James, Ethan Manilow, Amanda McCroskery, Kyle Pedersen, Pamela Peter-Agbia, Negar Rostamzadeh, Robert Thomas, Marco Zamarato, Ben Zevenbergen
Redefining Relationships in Music. CoRR (2022)
Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine Heller
Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT (2022)
Katharina Burgdorf, Negar Rostamzadeh, Ramya Srinivasan, Jennifer Lena
Looking at Creative ML Blindspots with a Sociological Lens. CoRR (2022)
Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR (2022)
Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
Evaluation Gaps in Machine Learning Practice. CoRR (2022)
Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla, Jess Gallegos, Andrew Smart, Emilio Garcia, Gurleen Virk
Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction. CoRR (2022)
Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar Jatho, Joshua Kroll, AJung Moon, Negar Rostamzadeh
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML. CoRR (2022)
Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran
Thinking Beyond Distributions in Testing Machine Learned Models. CoRR (2021)
Negar Rostamzadeh, Emily Denton, Linda Petrini
Ethics and Creativity in Computer Vision. CoRR (2021)
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
Deep Cox Mixtures for Survival Regression. MLHC (2021)
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
Deep Cox Mixtures for Survival Regression. CoRR (2021)
Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman
Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks (2021)
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
Reinforced active learning for image segmentation. CoRR (2020)
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
Proposal-Based Instance Segmentation With Point Supervision. ICIP (2020)
Negin Sokhandan, Pegah Kamousi, Alejandro Posada, Eniola Alese, Negar Rostamzadeh
A Few-Shot Sequential Approach for Object Counting. CoRR (2020)
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops (2020)
Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
Reinforced active learning for image segmentation. ICLR (2020)
Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro
Adaptive Cross-Modal Few-shot Learning. NeurIPS (2019)
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
Instance Segmentation with Point Supervision. CoRR (2019)
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn
Neural Multisensory Scene Inference. NeurIPS (2019)
Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro
Reinforced Imitation in Heterogeneous Action Space. CoRR (2019)
Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn
Neural Multisensory Scene Inference. CoRR (2019)
Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio, Alex Shee
Towards Standardization of Data Licenses: The Montreal Data License. CoRR (2019)
Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
Domain-Adaptive Single-View 3D Reconstruction. ICCV (2019)
Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
Fine-grained zero-shot recognition with metric rescaling. CoRR (2019)
Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro
Adaptive Cross-Modal Few-Shot Learning. CoRR (2019)
Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
Adversarial Framing for Image and Video Classification. AAAI (2019)
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
Where are the Blobs: Counting by Localization with Point Supervision. CoRR (2018)
Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
Where Are the Blobs: Counting by Localization with Point Supervision. ECCV (2) (2018)
Alexandre Lacoste, Boris N. Oreshkin, Wonchang Chung, Thomas Boquet, Negar Rostamzadeh, David Krueger
Uncertainty in Multitask Transfer Learning. CoRR (2018)
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
Deep Complex Networks. ICLR (Poster) (2018)
Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal
Fashion-Gen: The Generative Fashion Dataset and Challenge. CoRR (2018)
Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
Adversarial Framing for Image and Video Classification. CoRR (2018)
Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron C. Courville
Hierarchical Adversarially Learned Inference. CoRR (2018)
Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
Learning Single-View 3D Reconstruction with Adversarial Training. CoRR (2018)
Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
Deep Complex Networks. CoRR (2017)
Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh, Boris N. Oreshkin, Wonchang Chung, David Krueger
Deep Prior. CoRR (2017)
Negar Rostamzadeh, Jasper R. R. Uijlings, Ionut Mironica, Mojtaba Khomami Abadi, Bogdan Ionescu, Nicu Sebe
Cluster encoding for modelling temporal variation in video. ICIP (2015)
Jasper R. R. Uijlings, I. C. Duta, Negar Rostamzadeh, Nicu Sebe
Realtime Video Classification using Dense HOF/HOG. ICMR (2014)
Mojtaba Khomami Abadi, Azad Abad, Ramanathan Subramanian, Negar Rostamzadeh, Elisa Ricci, Jagannadan Varadarajan, Nicu Sebe
A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations. CrowdMM (2014)
Yan Yan, Elisa Ricci, Negar Rostamzadeh, Nicu Sebe
It's all about habits: Exploiting multi-task clustering for activities of daily living analysis. ICIP (2014)
Negar Rostamzadeh, Gloria Zen, Ionut Mironica, Jasper R. R. Uijlings, Nicu Sebe
Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation. ICIAP (1) (2013)
Ionut Mironica, Jasper R. R. Uijlings, Negar Rostamzadeh, Bogdan Ionescu, Nicu Sebe
Time matters!: capturing variation in time in video using fisher kernels. ACM Multimedia (2013)
Gloria Zen, Negar Rostamzadeh, Jacopo Staiano, Elisa Ricci, Nicu Sebe
Enhanced semantic descriptors for functional scene categorization. ICPR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Negar Rostamzadeh