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2020 – today
- 2024
[j1]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): 1-30 (2024)- [c28]Cynthia L. Bennett, Renee Shelby, Negar Rostamzadeh, Shaun K. Kane:
Painting with Cameras and Drawing with Text: AI Use in Accessible Creativity. ASSETS 2024: 5:1-5:19 - [c27]Renee Shelby, Shalaleh Rismani, Negar Rostamzadeh:
Generative AI in Creative Practice: ML-Artist Folk Theories of T2I Use, Harm, and Harm-Reduction. CHI 2024: 32:1-32:17 - [c26]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. EAAMO 2024: 10:1-10:24 - [c25]Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh:
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. ICML 2024 - [i36]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 abs/2403.03357 (2024) - [i35]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 abs/2403.12025 (2024) - [i34]Golnoosh Farnadi, Mohammad Havaei, Negar Rostamzadeh:
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities. CoRR abs/2406.01757 (2024) - [i33]Ahmed Imtiaz Humayun, Ibtihel Amara, Candice Schumann, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei:
Understanding the Local Geometry of Generative Model Manifolds. CoRR abs/2408.08307 (2024) - [i32]Mercy Nyamewaa Asiedu, Iskandar Haykel, Awa Dieng, Kerrie Kauer, Tousif Ahmed, Florence Ofori, Charisma Chan, Stephen Pfohl, Negar Rostamzadeh, Katherine A. Heller:
Nteasee: A mixed methods study of expert and general population perspectives on deploying AI for health in African countries. CoRR abs/2409.12197 (2024) - 2023
- [c24]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: 70-83 - [c23]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: 723-741 - [c22]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: 2:1-2:18 - [i31]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 abs/2307.10312 (2023) - [i30]Atieh Taheri, Mohammad Izadi, Gururaj Shriram, Negar Rostamzadeh, Shaun K. Kane:
Breaking Barriers to Creative Expression: Co-Designing and Implementing an Accessible Text-to-Image Interface. CoRR abs/2309.02402 (2023) - 2022
- [c21]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: 375-396 - [c20]Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. FAccT 2022: 1859-1876 - [c19]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. FAccT 2022: 1943-1961 - [i29]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 abs/2202.13028 (2022) - [i28]Lindiwe Brigitte Malobola, Negar Rostamzadeh, Shakir Mohamed:
se-Shweshwe Inspired Fashion Generation. CoRR abs/2203.00435 (2022) - [i27]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 abs/2204.03969 (2022) - [i26]Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. CoRR abs/2205.05256 (2022) - [i25]Katharina Burgdorf, Negar Rostamzadeh, Ramya Srinivasan, Jennifer Lena:
Looking at Creative ML Blindspots with a Sociological Lens. CoRR abs/2205.13683 (2022) - [i24]Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti:
Inducing bias is simpler than you think. CoRR abs/2205.15935 (2022) - [i23]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. CoRR abs/2210.03535 (2022) - [i22]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 abs/2210.05791 (2022) - [i21]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 abs/2212.08038 (2022) - 2021
- [c18]Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. MLHC 2021: 674-708 - [c17]Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman:
Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks 2021 - [i20]Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. CoRR abs/2101.06536 (2021) - [i19]Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran:
Thinking Beyond Distributions in Testing Machine Learned Models. CoRR abs/2112.03057 (2021) - [i18]Negar Rostamzadeh, Emily Denton, Linda Petrini:
Ethics and Creativity in Computer Vision. CoRR abs/2112.03111 (2021) - 2020
- [c16]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
CLAREL: Classification via retrieval loss for zero-shot learning. CVPR Workshops 2020: 3989-3993 - [c15]Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Proposal-Based Instance Segmentation With Point Supervision. ICIP 2020: 2126-2130 - [c14]Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. ICLR 2020 - [i17]Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. CoRR abs/2002.06583 (2020) - [i16]Negin Sokhandan, Pegah Kamousi, Alejandro Posada, Eniola Alese, Negar Rostamzadeh:
A Few-Shot Sequential Approach for Object Counting. CoRR abs/2007.01899 (2020) - [i15]Levent Sagun, Çaglar Gülçehre, Adriana Romero, Negar Rostamzadeh, Stefano Sarao Mannelli:
Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver. CoRR abs/2007.13483 (2020)
2010 – 2019
- 2019
- [c13]Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. AAAI 2019: 10077-10078 - [c12]Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Domain-Adaptive Single-View 3D Reconstruction. ICCV 2019: 7637-7646 - [c11]Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro:
Adaptive Cross-Modal Few-shot Learning. NeurIPS 2019: 4848-4858 - [c10]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. NeurIPS 2019: 8994-9004 - [i14]Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro:
Adaptive Cross-Modal Few-Shot Learning. CoRR abs/1902.07104 (2019) - [i13]Misha Benjamin, Paul Gagnon, Negar Rostamzadeh, Chris Pal, Yoshua Bengio, Alex Shee:
Towards Standardization of Data Licenses: The Montreal Data License. CoRR abs/1903.12262 (2019) - [i12]Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro:
Reinforced Imitation in Heterogeneous Action Space. CoRR abs/1904.03438 (2019) - [i11]Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Instance Segmentation with Point Supervision. CoRR abs/1906.06392 (2019) - [i10]Boris N. Oreshkin, Negar Rostamzadeh, Pedro O. Pinheiro, Christopher J. Pal:
Fine-grained zero-shot recognition with metric rescaling. CoRR abs/1906.11892 (2019) - [i9]Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. CoRR abs/1910.02344 (2019) - 2018
- [c9]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: 560-576 - [c8]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 - [i8]Mohamed Ishmael Belghazi, Sai Rajeswar, Olivier Mastropietro, Negar Rostamzadeh, Jovana Mitrovic, Aaron C. Courville:
Hierarchical Adversarially Learned Inference. CoRR abs/1802.01071 (2018) - [i7]Alexandre Lacoste, Boris N. Oreshkin, Wonchang Chung, Thomas Boquet, Negar Rostamzadeh, David Krueger:
Uncertainty in Multitask Transfer Learning. CoRR abs/1806.07528 (2018) - [i6]Negar Rostamzadeh, Seyedarian Hosseini, Thomas Boquet, Wojciech Stokowiec, Ying Zhang, Christian Jauvin, Chris Pal:
Fashion-Gen: The Generative Fashion Dataset and Challenge. CoRR abs/1806.08317 (2018) - [i5]Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Where are the Blobs: Counting by Localization with Point Supervision. CoRR abs/1807.09856 (2018) - [i4]Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Learning Single-View 3D Reconstruction with Adversarial Training. CoRR abs/1812.01742 (2018) - [i3]Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. CoRR abs/1812.04599 (2018) - 2017
- [b1]Negar Rostamzadeh:
Video Scene Understanding: Semantic-based representation, Temporal Variation Modeling, Multi-Task Learning. University of Trento, Italy, 2017 - [i2]Chiheb Trabelsi, Olexa Bilaniuk, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J. Pal:
Deep Complex Networks. CoRR abs/1705.09792 (2017) - [i1]Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh, Boris N. Oreshkin, Wonchang Chung, David Krueger:
Deep Prior. CoRR abs/1712.05016 (2017) - 2015
- [c7]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: 3640-3644 - 2014
- [c6]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: 1071-1075 - [c5]Jasper R. R. Uijlings, I. C. Duta, Negar Rostamzadeh, Nicu Sebe:
Realtime Video Classification using Dense HOF/HOG. ICMR 2014: 145 - [c4]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: 17-23 - 2013
- [c3]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: 431-441 - [c2]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: 701-704 - 2012
- [c1]Gloria Zen, Negar Rostamzadeh, Jacopo Staiano, Elisa Ricci, Nicu Sebe:
Enhanced semantic descriptors for functional scene categorization. ICPR 2012: 1985-1988
Coauthor Index
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last updated on 2024-11-07 21:31 CET by the dblp team
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