Követés
Negar Rostamzadeh
Negar Rostamzadeh
Research Scientist at Google Research
E-mail megerősítve itt: google.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Deep Complex Networks
C Trabelsi, O Bilaniuk, Y Zhang, D Serdyuk, S Subramanian, JF Santos, ...
ICLR, 2018
10962018
Adaptive cross-modal few-shot learning
C Xing, N Rostamzadeh, B Oreshkin, PO O Pinheiro
Advances in Neural Information Processing Systems 32, 2019
3112019
Where are the blobs: Counting by localization with point supervision
IH Laradji, N Rostamzadeh, PO Pinheiro, D Vazquez, M Schmidt
Proceedings of the European Conference on Computer Vision (ECCV), 547-562, 2018
2482018
Sociotechnical harms of algorithmic systems: Scoping a taxonomy for harm reduction
R Shelby, S Rismani, K Henne, AJ Moon, N Rostamzadeh, P Nicholas, ...
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 723-741, 2023
193*2023
Fashion-Gen: The generative fashion dataset and challenge
R Negar, H Seyedarian, B Thomas, S Wojciech, Z Ying, J Christian, ...
arXiv preprint arXiv:1806.08317, 2018
165*2018
Reinforced active learning for image segmentation
A Casanova, P O. Pinheiro, N Rostamzadeh, C J. Pal
International Conference on Learning Representations (ICLR'2020), 2020
1362020
The value of standards for health datasets in artificial intelligence-based applications
A Arora, JE Alderman, J Palmer, S Ganapathi, E Laws, MD Mccradden, ...
Nature Medicine 29 (11), 2929-2938, 2023
1122023
Deep cox mixtures for survival regression
C Nagpal, S Yadlowsky, N Rostamzadeh, K Heller
Machine Learning for Healthcare Conference, 674-708, 2021
892021
Healthsheet: development of a transparency artifact for health datasets
N Rostamzadeh, D Mincu, S Roy, A Smart, L Wilcox, M Pushkarna, ...
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
732022
Adversarial framing for image and video classification
M Zajac, K Zołna, N Rostamzadeh, PO Pinheiro
Proceedings of the AAAI Conference on Artificial Intelligence 33, 10077-10078, 2019
702019
Evaluation gaps in machine learning practice
B Hutchinson, N Rostamzadeh, C Greer, K Heller, V Prabhakaran
Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022
672022
Tackling bias in AI datasets through the STANDING together initiative
S Ganapathi, J Palmer, J Alderman, M Calvert, E Cyrus, J Gath, ...
Nature Medicine, 2022
662022
Realtime video classification using dense hof/hog
JRR Uijlings, IC Duta, N Rostamzadeh, N Sebe
Proceedings of international conference on multimedia retrieval, 145-152, 2014
642014
Oreshkin, and Pedro O Pinheiro. Adaptive cross-modal few-shot learning
C Xing, N Rostamzadeh, N Boris
arXiv preprint arXiv:1902.07104 4, 2019
532019
Towards Standardization of Data Licenses: The Montreal Data License
M Benjamin, P Gagnon, N Rostamzadeh, C Pal, Y Bengio, A Shee
Computer Vision and Pattern Recognition (CVPR'2019) Fairness, Accountability …, 2019
48*2019
Uncertainty in multitask transfer learning
A Lacoste, B Oreshkin, W Chung, T Boquet, N Rostamzadeh, D Krueger
arXiv preprint arXiv:1806.07528, 2018
40*2018
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML
S Rismani, R Shelby, A Smart, E Jatho, J Kroll, AJ Moon, N Rostamzadeh
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
39*2023
Proposal-based instance segmentation with point supervision
IH Laradji, N Rostamzadeh, PO Pinheiro, D Vazquez, M Schmidt
2020 IEEE International Conference on Image Processing (ICIP), 2126-2130, 2020
392020
Domain-Adaptive Single-View 3D Reconstruction
P Pinheiro, N Rostamzadeh, S Ahn
International Conference on Computer Vision 2019 (ICCV'19), 2018
302018
A toolbox for surfacing health equity harms and biases in large language models
SR Pfohl, H Cole-Lewis, R Sayres, D Neal, M Asiedu, A Dieng, ...
Nature Medicine, 2024
292024
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