Negar Rostamzadeh

77 papers A* 11A 1B 5C 2Journal 44Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Framework to Quantify Cultural Intelligence of AI. CoRR Sunipa Dev, Vinodkumar Prabhakaran, Rutledge Chin Feman, Aida Mostafazadeh Davani, Remi Denton, Charu Kalia, Piyawat Lertvittayakumjorn, Madhurima Maji, Rida Qadri, Negar Rostamzadeh, Renee Shelby, Romina Stella, Hayk Stepanyan, Erin van Liemt, Aishwarya Verma, Oscar Wahltinez, Edem Wornyo, Andrew Zaldivar, Saska Mojsilovic
2026	J	`jnl`	Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes. CoRR Aly M. Kassem, Thomas Jiralerspong, Negar Rostamzadeh, Golnoosh Farnadi
2026	—	`conf`	Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs. EACL (Volume 1: Long Papers) Alireza Dehghanpour Farashah, Aditi Khandelwal, Marylou Fauchard, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2026	J	`jnl`	Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs. CoRR Alireza Dehghanpour Farashah, Aditi Khandelwal, Marylou Fauchard, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2025	J	`jnl`	Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory. CoRR Srishti Yadav, Lauren Tilton, Maria Antoniak, Taylor B. Arnold, Jiaang Li, Siddhesh Pawar, Antonia Karamolegkou, Stella Frank, Zhaochong An, Negar Rostamzadeh, Daniel Hershcovich, Serge J. Belongie, Ekaterina Shutova
2025	J	`jnl`	EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. CoRR Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine A. Heller, Mohammad Havaei, Negar Rostamzadeh
2025	J	`jnl`	Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms. CoRR Shalaleh Rismani, Renee Shelby, Leah Davis, Negar Rostamzadeh, AJung Moon
2025	—	`conf`	Nteasee: Understanding Needs in AI for Health in Africa - A Mixed-Methods Study of Expert and General Population Perspectives. FAccT Mercy Asiedu, Iskandar Haykel, Awa Dieng, Kerrie Kauer, Tousif Ahmed, Florence Ofori, Charisma Chan, Stephen Pfohl, Negar Rostamzadeh, Katherine A. Heller
2025	A*	`conf`	REVIVING YOUR MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing. EMNLP Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2025	J	`jnl`	Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing. CoRR Aly M. Kassem, Zhuan Shi, Negar Rostamzadeh, Golnoosh Farnadi
2025	A*	`conf`	What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. ICLR Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A. Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
2024	J	`jnl`	A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR 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
2024	J	`jnl`	Creative ML Assemblages: The Interactive Politics of People, Processes, and Products. Proc. ACM Hum. Comput. Interact. Renee Shelby, Ramya Srinivasan, Katharina Burgdorf, Jennifer Lena, Negar Rostamzadeh
2024	A*	`conf`	Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction. CHI Renee Shelby, Shalaleh Rismani, Negar Rostamzadeh
2024	J	`jnl`	Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries. CoRR Mercy Nyamewaa Asiedu, Iskandar Haykel, Awa Dieng, Kerrie Kauer, Tousif Ahmed, Florence Ofori, Charisma Chan, Stephen Pfohl, Negar Rostamzadeh, Katherine A. Heller
2024	A	`conf`	Painting with Cameras and Drawing with Text: AI Use in Accessible Creativity. ASSETS Cynthia L. Bennett, Renee Shelby, Negar Rostamzadeh, Shaun K. Kane
2024	A*	`conf`	Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. ICML Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
2024	J	`jnl`	Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh
2024	—	`conf`	The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. EAAMO Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
2024	J	`jnl`	The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. CoRR Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
2024	J	`jnl`	Understanding the Local Geometry of Generative Model Manifolds. CoRR Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
2023	C	`conf`	Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. AIES Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh
2023	J	`jnl`	Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. CoRR Shalaleh Rismani, Renee Shelby, Andrew Smart, Renelito Delos Santos, AJung Moon, Negar Rostamzadeh
2023	J	`jnl`	Breaking Barriers to Creative Expression: Co-Designing and Implementing an Accessible Text-to-Image Interface. CoRR Atieh Taheri, Mohammad Izadi, Gururaj Shriram, Negar Rostamzadeh, Shaun K. Kane
2023	A*	`conf`	From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML. CHI Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh
2023	C	`conf`	Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. AIES Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla-Akbari, Jess Gallegos, Andrew Smart, Emilio García, Gurleen Virk
2022	—	`conf`	Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022	J	`jnl`	Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller
2022	—	`conf`	Evaluation Gaps in Machine Learning Practice. FAccT Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
2022	J	`jnl`	Evaluation Gaps in Machine Learning Practice. CoRR Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
2022	J	`jnl`	From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML. CoRR Shalaleh Rismani, Renee Shelby, Andrew Smart, Edgar W. Jatho III, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh
2022	—	`conf`	Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022	J	`jnl`	Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller
2022	J	`jnl`	Inducing bias is simpler than you think. CoRR Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti
2022	J	`jnl`	Looking at Creative ML Blindspots with a Sociological Lens. CoRR Katharina Burgdorf, Negar Rostamzadeh, Ramya Srinivasan, Jennifer Lena
2022	J	`jnl`	Redefining Relationships in Music. CoRR 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
2022	J	`jnl`	Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction. CoRR Renee Shelby, Shalaleh Rismani, Kathryn Henne, AJung Moon, Negar Rostamzadeh, Paul Nicholas, N'Mah Yilla, Jess Gallegos, Andrew Smart, Emilio Garcia, Gurleen Virk
2022	J	`jnl`	se-Shweshwe Inspired Fashion Generation. CoRR Lindiwe Brigitte Malobola, Negar Rostamzadeh, Shakir Mohamed
2021	—	`conf`	Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman
2021	—	`conf`	Deep Cox Mixtures for Survival Regression. MLHC Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
2021	J	`jnl`	Deep Cox Mixtures for Survival Regression. CoRR Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
2021	J	`jnl`	Ethics and Creativity in Computer Vision. CoRR Negar Rostamzadeh, Emily Denton, Linda Petrini
2021	J	`jnl`	Thinking Beyond Distributions in Testing Machine Learned Models. CoRR Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran
2020	J	`jnl`	A Few-Shot Sequential Approach for Object Counting. CoRR Negin Sokhandan, Pegah Kamousi, Alejandro Posada, Eniola Alese, Negar Rostamzadeh
2020	—	`conf`	CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
2020	J	`jnl`	Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver. CoRR Levent Sagun, Çaglar Gülçehre, Adriana Romero, Negar Rostamzadeh, Stefano Sarao Mannelli
2020	B	`conf`	Proposal-Based Instance Segmentation With Point Supervision. ICIP Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2020	A*	`conf`	Reinforced active learning for image segmentation. ICLR Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
2020	J	`jnl`	Reinforced active learning for image segmentation. CoRR Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal
2019	J	`jnl`	Adaptive Cross-Modal Few-Shot Learning. CoRR Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro
2019	A*	`conf`	Adaptive Cross-Modal Few-shot Learning. NeurIPS Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro
2019	A*	`conf`	Adversarial Framing for Image and Video Classification. AAAI Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
2019	A*	`conf`	Domain-Adaptive Single-View 3D Reconstruction. ICCV Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
2019	J	`jnl`	Fine-grained zero-shot recognition with metric rescaling. CoRR Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal
2019	J	`jnl`	Instance Segmentation with Point Supervision. CoRR Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2019	A*	`conf`	Neural Multisensory Scene Inference. NeurIPS Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn
2019	J	`jnl`	Neural Multisensory Scene Inference. CoRR Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn
2019	J	`jnl`	Reinforced Imitation in Heterogeneous Action Space. CoRR Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro
2019	J	`jnl`	Towards Standardization of Data Licenses: The Montreal Data License. CoRR Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio, Alex Shee
2018	J	`jnl`	Adversarial Framing for Image and Video Classification. CoRR Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro
2018	—	`conf`	Deep Complex Networks. ICLR (Poster) Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
2018	J	`jnl`	Fashion-Gen: The Generative Fashion Dataset and Challenge. CoRR Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal
2018	J	`jnl`	Hierarchical Adversarially Learned Inference. CoRR Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron C. Courville
2018	J	`jnl`	Learning Single-View 3D Reconstruction with Adversarial Training. CoRR Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn
2018	J	`jnl`	Uncertainty in Multitask Transfer Learning. CoRR Alexandre Lacoste, Boris N. Oreshkin, Wonchang Chung, Thomas Boquet, Negar Rostamzadeh, David Krueger
2018	—	`conf`	Where Are the Blobs: Counting by Localization with Point Supervision. ECCV (2) Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2018	J	`jnl`	Where are the Blobs: Counting by Localization with Point Supervision. CoRR Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt
2017	J	`jnl`	Deep Complex Networks. CoRR Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal
2017	J	`jnl`	Deep Prior. CoRR Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh, Boris N. Oreshkin, Wonchang Chung, David Krueger
2017	—	`—`	Video Scene Understanding: Semantic-based representation, Temporal Variation Modeling, Multi-Task Learning. Negar Rostamzadeh
2015	B	`conf`	Cluster encoding for modelling temporal variation in video. ICIP Negar Rostamzadeh, Jasper R. R. Uijlings, Ionut Mironica, Mojtaba Khomami Abadi, Bogdan Ionescu, Nicu Sebe
2014	—	`conf`	A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations. CrowdMM Mojtaba Khomami Abadi, Azad Abad, Ramanathan Subramanian, Negar Rostamzadeh, Elisa Ricci, Jagannadan Varadarajan, Nicu Sebe
2014	B	`conf`	It's all about habits: Exploiting multi-task clustering for activities of daily living analysis. ICIP Yan Yan, Elisa Ricci, Negar Rostamzadeh, Nicu Sebe
2014	B	`conf`	Realtime Video Classification using Dense HOF/HOG. ICMR Jasper R. R. Uijlings, I. C. Duta, Negar Rostamzadeh, Nicu Sebe
2013	—	`conf`	Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation. ICIAP (1) Negar Rostamzadeh, Gloria Zen, Ionut Mironica, Jasper R. R. Uijlings, Nicu Sebe
2013	A*	`conf`	Time matters!: capturing variation in time in video using fisher kernels. ACM Multimedia Ionut Mironica, Jasper R. R. Uijlings, Negar Rostamzadeh, Bogdan Ionescu, Nicu Sebe
2012	B	`conf`	Enhanced semantic descriptors for functional scene categorization. ICPR Gloria Zen, Negar Rostamzadeh, Jacopo Staiano, Elisa Ricci, Nicu Sebe