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Negar Rostamzadeh
Negar Rostamzadeh
Research Scientist at Google Research
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Deep Complex Networks
C Trabelsi, O Bilaniuk, Y Zhang, D Serdyuk, S Subramanian, JF Santos, ...
ICLR, 2018
884*2018
Adaptive cross-modal few-shot learning
C Xing, N Rostamzadeh, B Oreshkin, PO O Pinheiro
Advances in Neural Information Processing Systems 32, 2019
2442019
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
2012018
Fashion-Gen: The Generative Fashion Dataset and Challenge
N Rostamzadeh, S Hosseini, T Boquet, W Stokowiec, Y Zhang, C Jauvin, ...
ICML workshop, 2018
1302018
Reinforced active learning for image segmentation
A Casanova, P O. Pinheiro, N Rostamzadeh, C J. Pal
International Conference on Learning Representations (ICLR'2020), 2020
1022020
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
642019
Sociotechnical harms: scoping a taxonomy for harm reduction
R Shelby, S Rismani, K Henne, AJ Moon, N Rostamzadeh, P Nicholas, ...
arXiv preprint arXiv:2210.05791, 2022
62*2022
Deep Cox mixtures for survival regression
C Nagpal, S Yadlowsky, N Rostamzadeh, K Heller
Machine Learning for Healthcare Conference, 674-708, 2021
502021
Oreshkin, and Pedro O Pinheiro. Adaptive cross-modal few-shot learning
C Xing, N Rostamzadeh, N Boris
arXiv preprint arXiv:1902.07104 4, 2019
442019
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
34*2019
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
332022
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
332020
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
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
31*2022
Domain-Adaptive Single-View 3D Reconstruction
P Pinheiro, N Rostamzadeh, S Ahn
International Conference on Computer Vision 2019 (ICCV'19), 2018
292018
Hierarchical Adversarially Learned Inference
MI Belghazi, S Rajeswar, O Mastropietro, N Rostamzadeh, J Mitrovic, ...
ICML workshop, 2018
232018
Time matters! capturing variation in time in video using fisher kernels
I Mironica, J Uijlings, N Rostamzadeh, B Ionescu, N Sebe
Proceedings of the 21st ACM international conference on multimedia, 701-704, 2013
232013
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
222022
Instance segmentation with point supervision
IH Laradji, N Rostamzadeh, PO Pinheiro, D Vázquez, M Schmidt
arXiv preprint arXiv:1906.06392, 2019
222019
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Articles 1–20