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Negar Rostamzadeh
Negar Rostamzadeh
Research Scientist at Google Research
Dirección de correo verificada de google.com - Página principal
Título
Citado por
Citado por
Año
Deep Complex Networks
C Trabelsi, O Bilaniuk, Y Zhang, D Serdyuk, S Subramanian, JF Santos, ...
ICLR, 2018
9502018
Adaptive cross-modal few-shot learning
C Xing, N Rostamzadeh, B Oreshkin, PO O Pinheiro
Advances in Neural Information Processing Systems 32, 2019
2672019
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
2202018
Fashion-Gen: The Generative Fashion Dataset and Challenge
N Rostamzadeh, S Hosseini, T Boquet, W Stokowiec, Y Zhang, C Jauvin, ...
ICML workshop, 2018
1482018
Reinforced active learning for image segmentation
A Casanova, P O. Pinheiro, N Rostamzadeh, C J. Pal
International Conference on Learning Representations (ICLR'2020), 2020
1112020
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
106*2023
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
652014
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
622019
Deep Cox mixtures for survival regression
C Nagpal, S Yadlowsky, N Rostamzadeh, K Heller
Machine Learning for Healthcare Conference, 674-708, 2021
582021
Oreshkin, and Pedro O Pinheiro. Adaptive cross-modal few-shot learning
C Xing, N Rostamzadeh, N Boris
arXiv preprint arXiv:1902.07104 4, 2019
502019
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
46*2022
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
452022
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
402019
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
372022
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
372020
Uncertainty in multitask transfer learning
A Lacoste, B Oreshkin, W Chung, T Boquet, N Rostamzadeh, D Krueger
arXiv preprint arXiv:1806.07528, 2018
33*2018
Domain-Adaptive Single-View 3D Reconstruction
P Pinheiro, N Rostamzadeh, S Ahn
International Conference on Computer Vision 2019 (ICCV'19), 2018
282018
Instance segmentation with point supervision
IH Laradji, N Rostamzadeh, PO Pinheiro, D Vázquez, M Schmidt
arXiv preprint arXiv:1906.06392, 2019
242019
Daily living activities recognition via efficient high and low level cues combination and fisher kernel representation
N Rostamzadeh, G Zen, I Mironică, J Uijlings, N Sebe
Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013
242013
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
232023
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