| Deep Complex Networks C Trabelsi, O Bilaniuk, Y Zhang, D Serdyuk, S Subramanian, JF Santos, ... ICLR, 2018 | 831* | 2018 |
| Adaptive cross-modal few-shot learning C Xing, N Rostamzadeh, B Oreshkin, PO O Pinheiro Advances in Neural Information Processing Systems 32, 2019 | 222 | 2019 |
| 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 | 185 | 2018 |
| Fashion-Gen: The Generative Fashion Dataset and Challenge N Rostamzadeh, S Hosseini, T Boquet, W Stokowiec, Y Zhang, C Jauvin, ... ICML workshop, 2018 | 124 | 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 | 96 | 2020 |
| 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 | 63 | 2014 |
| 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 | 59 | 2019 |
| Deep Cox mixtures for survival regression C Nagpal, S Yadlowsky, N Rostamzadeh, K Heller Machine Learning for Healthcare Conference, 674-708, 2021 | 46 | 2021 |
| Oreshkin, and Pedro O Pinheiro. Adaptive cross-modal few-shot learning C Xing, N Rostamzadeh, N Boris arXiv preprint arXiv:1902.07104 4, 2019 | 40 | 2019 |
| 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 | 39* | 2022 |
| 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 |
| 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 | 32* | 2019 |
| Domain-Adaptive Single-View 3D Reconstruction P Pinheiro, N Rostamzadeh, S Ahn International Conference on Computer Vision 2019 (ICCV'19), 2018 | 28 | 2018 |
| 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 | 25 | 2022 |
| 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 | 25 | 2020 |
| 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 | 23* | 2022 |
| Hierarchical Adversarially Learned Inference MI Belghazi, S Rajeswar, O Mastropietro, N Rostamzadeh, J Mitrovic, ... ICML workshop, 2018 | 23 | 2018 |
| 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 | 23 | 2013 |
| 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 | 22 | 2013 |
| Instance segmentation with point supervision IH Laradji, N Rostamzadeh, PO Pinheiro, D Vázquez, M Schmidt arXiv preprint arXiv:1906.06392, 2019 | 20 | 2019 |
Pedro O. PinheiroPrescient Design, GenentechVerified email at epfl.ch
