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Publication search results
found 51 matches
- 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: 375-396 - Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. FAccT 2022: 1859-1876 - 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 - 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) - Lindiwe Brigitte Malobola, Negar Rostamzadeh, Shakir Mohamed:
se-Shweshwe Inspired Fashion Generation. CoRR abs/2203.00435 (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 abs/2204.03969 (2022) - Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. CoRR abs/2205.05256 (2022) - Katharina Burgdorf, Negar Rostamzadeh, Ramya Srinivasan, Jennifer Lena:
Looking at Creative ML Blindspots with a Sociological Lens. CoRR abs/2205.13683 (2022) - Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti:
Inducing bias is simpler than you think. CoRR abs/2205.15935 (2022) - 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) - 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) - 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
- Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. MLHC 2021: 674-708 - Ramya Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Diaz, Beth Coleman:
Artsheets for Art Datasets. NeurIPS Datasets and Benchmarks 2021 - Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. CoRR abs/2101.06536 (2021) - Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran:
Thinking Beyond Distributions in Testing Machine Learned Models. CoRR abs/2112.03057 (2021) - Negar Rostamzadeh, Emily Denton, Linda Petrini:
Ethics and Creativity in Computer Vision. CoRR abs/2112.03111 (2021) - 2020
- 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 - Issam H. Laradji, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, Mark Schmidt:
Proposal-Based Instance Segmentation With Point Supervision. ICIP 2020: 2126-2130 - Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. ICLR 2020 - Arantxa Casanova, Pedro O. Pinheiro, Negar Rostamzadeh, Christopher J. Pal:
Reinforced active learning for image segmentation. CoRR abs/2002.06583 (2020) - Negin Sokhandan, Pegah Kamousi, Alejandro Posada, Eniola Alese, Negar Rostamzadeh:
A Few-Shot Sequential Approach for Object Counting. CoRR abs/2007.01899 (2020) - 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) - 2019
- Michal Zajac, Konrad Zolna, Negar Rostamzadeh, Pedro O. Pinheiro:
Adversarial Framing for Image and Video Classification. AAAI 2019: 10077-10078 - Pedro O. Pinheiro, Negar Rostamzadeh, Sungjin Ahn:
Domain-Adaptive Single-View 3D Reconstruction. ICCV 2019: 7637-7646 - Jae Hyun Lim, Pedro O. Pinheiro, Negar Rostamzadeh, Chris Pal, Sungjin Ahn:
Neural Multisensory Scene Inference. NeurIPS 2019: 8994-9004 - Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro:
Adaptive Cross-Modal Few-shot Learning. NeurIPS 2019: 4848-4858 - Chen Xing, Negar Rostamzadeh, Boris N. Oreshkin, Pedro O. Pinheiro:
Adaptive Cross-Modal Few-Shot Learning. CoRR abs/1902.07104 (2019) - 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) - Konrad Zolna, Negar Rostamzadeh, Yoshua Bengio, Sungjin Ahn, Pedro O. Pinheiro:
Reinforced Imitation in Heterogeneous Action Space. CoRR abs/1904.03438 (2019)
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