Enhanced semantic descriptors for functional scene categorization. - Gloria Zen; Negar Rostamzadeh; Jacopo Staiano; Elisa Ricci 001; Nicu Sebe (ICPR, 2012)

Daily Living Activities Recognition via Efficient High and Low Level Cues Combination and Fisher Kernel Representation. - Negar Rostamzadeh; Gloria Zen; Ionut Mironica; Jasper R. R. Uijlings; Nicu Sebe (ICIAP (1), 2013)

Time matters!: capturing variation in time in video using fisher kernels. - Ionut Mironica; Jasper R. R. Uijlings; Negar Rostamzadeh; Bogdan Ionescu; Nicu Sebe (ACM Multimedia, 2013)

It's all about habits: Exploiting multi-task clustering for activities of daily living analysis. - Yan Yan 002; Elisa Ricci 001; Negar Rostamzadeh; Nicu Sebe (ICIP, 2014)

Realtime Video Classification using Dense HOF/HOG. - Jasper R. R. Uijlings; I. C. Duta; Negar Rostamzadeh; Nicu Sebe (ICMR, 2014)

A Multi-task Learning Framework for Time-continuous Emotion Estimation from Crowd Annotations. - Mojtaba Khomami Abadi; Azad Abad; Ramanathan Subramanian; Negar Rostamzadeh; Elisa Ricci 001; Jagannadan Varadarajan; Nicu Sebe (CrowdMM, 2014)

Cluster encoding for modelling temporal variation in video. - Negar Rostamzadeh; Jasper R. R. Uijlings; Ionut Mironica; Mojtaba Khomami Abadi; Bogdan Ionescu; Nicu Sebe (ICIP, 2015)

Deep Complex Networks. - Chiheb Trabelsi; Olexa Bilaniuk; Dmitriy Serdyuk; Sandeep Subramanian; João Felipe Santos; Soroush Mehri; Negar Rostamzadeh; Yoshua Bengio; Christopher J. Pal (CoRR, 2017)

Deep Prior. - Alexandre Lacoste; Thomas Boquet; Negar Rostamzadeh; Boris N. Oreshkin; Wonchang Chung; David Krueger 001 (CoRR, 2017)

Video Scene Understanding: Semantic-based representation, Temporal Variation Modeling, Multi-Task Learning. - Negar Rostamzadeh (2017)

Where Are the Blobs: Counting by Localization with Point Supervision. - Issam H. Laradji; Negar Rostamzadeh; Pedro O. Pinheiro; David Vázquez 001; Mark Schmidt 001 (ECCV (2), 2018)

Deep Complex Networks. - Chiheb Trabelsi; Olexa Bilaniuk; Ying Zhang 033; Dmitriy Serdyuk; Sandeep Subramanian; João Felipe Santos; Soroush Mehri; Negar Rostamzadeh; Yoshua Bengio; Christopher J. Pal (ICLR (Poster), 2018)

Hierarchical Adversarially Learned Inference. - Mohamed Ishmael Belghazi; Sai Rajeswar; Olivier Mastropietro; Negar Rostamzadeh; Jovana Mitrovic; Aaron C. Courville (CoRR, 2018)

Uncertainty in Multitask Transfer Learning. - Alexandre Lacoste; Boris N. Oreshkin; Wonchang Chung; Thomas Boquet; Negar Rostamzadeh; David Krueger 001 (CoRR, 2018)

Fashion-Gen: The Generative Fashion Dataset and Challenge. - Negar Rostamzadeh; Seyedarian Hosseini; Thomas Boquet; Wojciech Stokowiec; Ying Zhang 033; Christian Jauvin; Chris Pal (CoRR, 2018)

Learning Single-View 3D Reconstruction with Adversarial Training. - Pedro O. Pinheiro; Negar Rostamzadeh; Sungjin Ahn (CoRR, 2018)

Adversarial Framing for Image and Video Classification. - Michal Zajac 005; Konrad Zolna; Negar Rostamzadeh; Pedro O. Pinheiro (AAAI, 2019)

Domain-Adaptive Single-View 3D Reconstruction. - Pedro O. Pinheiro; Negar Rostamzadeh; Sungjin Ahn (ICCV, 2019)

Neural Multisensory Scene Inference. - Jae Hyun Lim 001; Pedro O. Pinheiro; Negar Rostamzadeh; Chris Pal; Sungjin Ahn (NeurIPS, 2019)

Adaptive Cross-Modal Few-shot Learning. - Chen Xing; Negar Rostamzadeh; Boris N. Oreshkin; Pedro O. Pinheiro (NeurIPS, 2019)

Towards Standardization of Data Licenses: The Montreal Data License. - Misha Benjamin; Paul Gagnon; Negar Rostamzadeh; Chris Pal; Yoshua Bengio; Alex Shee (CoRR, 2019)

Reinforced Imitation in Heterogeneous Action Space. - Konrad Zolna; Negar Rostamzadeh; Yoshua Bengio; Sungjin Ahn; Pedro O. Pinheiro (CoRR, 2019)

Instance Segmentation with Point Supervision. - Issam H. Laradji; Negar Rostamzadeh; Pedro O. Pinheiro; David Vázquez 001; Mark Schmidt 001 (CoRR, 2019)

Fine-grained zero-shot recognition with metric rescaling. - Boris N. Oreshkin; Negar Rostamzadeh; Pedro O. Pinheiro; Christopher J. Pal (CoRR, 2019)

CLAREL: Classification via retrieval loss for zero-shot learning. - Boris N. Oreshkin; Negar Rostamzadeh; Pedro O. Pinheiro; Christopher J. Pal (CVPR Workshops, 2020)

Proposal-Based Instance Segmentation With Point Supervision. - Issam H. Laradji; Negar Rostamzadeh; Pedro O. Pinheiro; David Vázquez 001; Mark Schmidt 001 (ICIP, 2020)

Reinforced active learning for image segmentation. - Arantxa Casanova; Pedro O. Pinheiro; Negar Rostamzadeh; Christopher J. Pal (ICLR, 2020)

A Few-Shot Sequential Approach for Object Counting. - Negin Sokhandan; Pegah Kamousi; Alejandro Posada; Eniola Alese; Negar Rostamzadeh (CoRR, 2020)

Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver. - Levent Sagun; Çaglar Gülçehre; Adriana Romero; Negar Rostamzadeh; Stefano Sarao Mannelli (CoRR, 2020)

Deep Cox Mixtures for Survival Regression. - Chirag Nagpal; Steve Yadlowsky; Negar Rostamzadeh; Katherine A. Heller (MLHC, 2021)

Artsheets for Art Datasets. - Ramya Srinivasan 002; Emily Denton; Jordan Famularo; Negar Rostamzadeh; Fernando Diaz 001; Beth Coleman (NeurIPS Datasets and Benchmarks, 2021)

Thinking Beyond Distributions in Testing Machine Learned Models. - Negar Rostamzadeh; Ben Hutchinson; Christina Greer; Vinodkumar Prabhakaran (CoRR, 2021)

Ethics and Creativity in Computer Vision. - Negar Rostamzadeh; Emily Denton; Linda Petrini (CoRR, 2021)

Disability prediction in multiple sclerosis using performance outcome measures and demographic data. - Subhrajit Roy; Diana Mincu; Lev Proleev; Negar Rostamzadeh; Chintan Ghate; Natalie Harris; Christina Chen; Jessica Schrouff; Nenad Tomasev; Fletcher Lee Hartsell; Katherine A. Heller (CHIL, 2022)

Evaluation Gaps in Machine Learning Practice. - Ben Hutchinson; Negar Rostamzadeh; Christina Greer; Katherine A. Heller; Vinodkumar Prabhakaran (FAccT, 2022)

Healthsheet: Development of a Transparency Artifact for Health Datasets. - Negar Rostamzadeh; Diana Mincu; Subhrajit Roy; Andrew Smart; Lauren Wilcox; Mahima Pushkarna; Jessica Schrouff; Razvan Amironesei; Nyalleng Moorosi; Katherine A. Heller (FAccT, 2022)

se-Shweshwe Inspired Fashion Generation. - Lindiwe Brigitte Malobola; Negar Rostamzadeh; Shakir Mohamed (CoRR, 2022)

Looking at Creative ML Blindspots with a Sociological Lens. - Katharina Burgdorf; Negar Rostamzadeh; Ramya Srinivasan 002; Jennifer Lena (CoRR, 2022)

Inducing bias is simpler than you think. - Stefano Sarao Mannelli; Federica Gerace; Negar Rostamzadeh; Luca Saglietti (CoRR, 2022)

Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction. - Renee Shelby; Shalaleh Rismani; Kathryn Henne; AJung Moon; Negar Rostamzadeh; Paul Nicholas; N'Mah Yilla; Jess Gallegos; Andrew Smart; Emilio Garcia; Gurleen Virk (CoRR, 2022)

Redefining Relationships in Music. - Christian Detweiler; Beth Coleman; Fernando Diaz 001; Lieke Dom; Chris Donahue; Jesse H. Engel; Cheng-Zhi Anna Huang; Larry James; Ethan Manilow; Amanda McCroskery; Kyle Pedersen; Pamela Peter-Agbia; et al. (CoRR, 2022)

Beyond the ML Model: Applying Safety Engineering Frameworks to Text-to-Image Development. - Shalaleh Rismani; Renee Shelby; Andrew Smart; Renelito Delos Santos; AJung Moon; Negar Rostamzadeh (AIES, 2023)

Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction. - Renee Shelby; Shalaleh Rismani; Kathryn Henne; AJung Moon; Negar Rostamzadeh; Paul Nicholas; N'Mah Yilla-Akbari; Jess Gallegos; Andrew Smart; Emilio García; Gurleen Virk (AIES, 2023)

From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML. - Shalaleh Rismani; Renee Shelby; Andrew Smart; Edgar W. Jatho III; Joshua A. Kroll; AJung Moon; Negar Rostamzadeh (CHI, 2023)

Breaking Barriers to Creative Expression: Co-Designing and Implementing an Accessible Text-to-Image Interface. - Atieh Taheri; Mohammad Izadi; Gururaj Shriram; Negar Rostamzadeh; Shaun K. Kane (CoRR, 2023)

Painting with Cameras and Drawing with Text: AI Use in Accessible Creativity. - Cynthia L. Bennett; Renee Shelby; Negar Rostamzadeh; Shaun K. Kane (ASSETS, 2024)

Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction. - Renee Shelby; Shalaleh Rismani; Negar Rostamzadeh (CHI, 2024)

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. - Mercy Nyamewaa Asiedu; Awa Dieng; Iskandar Haykel; Negar Rostamzadeh; Stephen Pfohl; Chirag Nagpal; Maria Nagawa; Abigail Oppong; Sanmi Koyejo; Katherine A. Heller (EAAMO, 2024)

Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. - Golnoosh Farnadi; Mohammad Havaei; Negar Rostamzadeh (ICML, 2024)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. - 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; et al. (CoRR, 2024)

Understanding the Local Geometry of Generative Model Manifolds. - Ahmed Imtiaz Humayun; Ibtihel Amara; Candice Schumann; Golnoosh Farnadi; Negar Rostamzadeh; Mohammad Havaei (CoRR, 2024)

Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries. - Mercy Nyamewaa Asiedu; Iskandar Haykel; Awa Dieng; Kerrie Kauer; Tousif Ahmed; Florence Ofori; Charisma Chan; Stephen Pfohl; Negar Rostamzadeh; Katherine A. Heller (CoRR, 2024)

Creative ML Assemblages: The Interactive Politics of People, Processes, and Products. - Renee Shelby; Ramya Srinivasan 002; Katharina Burgdorf; Jennifer Lena; Negar Rostamzadeh (Proc. ACM Hum. Comput. Interact., 2024)

Nteasee: Understanding Needs in AI for Health in Africa - A Mixed-Methods Study of Expert and General Population Perspectives. - Mercy Asiedu; Iskandar Haykel; Awa Dieng; Kerrie Kauer; Tousif Ahmed; Florence Ofori; Charisma Chan; Stephen Pfohl; Negar Rostamzadeh; Katherine A. Heller (FAccT, 2025)

What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models. - Ahmed Imtiaz Humayun; Ibtihel Amara; Cristina Nader Vasconcelos; Deepak Ramachandran; Candice Schumann; Junfeng He; Katherine A. Heller; Golnoosh Farnadi; Negar Rostamzadeh; Mohammad Havaei (ICLR, 2025)

EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. - 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; et al. (CoRR, 2025)

Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory. - Srishti Yadav; Lauren Tilton; Maria Antoniak; Taylor Arnold; Jiaang Li 002; Siddhesh Pawar; Antonia Karamolegkou; Stella Frank; Zhaochong An; Negar Rostamzadeh; Daniel Hershcovich; Serge J. Belongie; et al. (CoRR, 2025)

Reviving Your MNEME: Predicting The Side Effects of LLM Unlearning and Fine-Tuning via Sparse Model Diffing. - Aly M. Kassem; Zhuan Shi; Negar Rostamzadeh; Golnoosh Farnadi (CoRR, 2025)

Measuring What Matters: Connecting AI Ethics Evaluations to System Attributes, Hazards, and Harms. - Shalaleh Rismani; Renee Shelby; Leah Davis; Negar Rostamzadeh; AJung Moon (CoRR, 2025)