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Farzaneh Mahdisoltani
Farzaneh Mahdisoltani
University of Toronto, Vector Institute
Verified email at cs.toronto.edu
Title
Cited by
Cited by
Year
Yago3: A knowledge base from multilingual wikipedias
F Mahdisoltani, J Biega, FM Suchanek
CIDR, 2014
8472014
Proactive error prediction to improve storage system reliability.
F Mahdisoltani, IA Stefanovici, B Schroeder
USENIX Annual Technical Conference, 391-402, 2017
922017
Fine-grained video classification and captioning
F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic
arXiv preprint arXiv:1804.09235 5 (6), 2018
382018
On the effectiveness of task granularity for transfer learning
F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic
arXiv preprint arXiv:1804.09235, 2018
362018
On the effectiveness of task granularity for transfer learning
F Mahdisoltani, G Berger, W Gharbieh, D Fleet, R Memisevic
https://arxiv.org/pdf/1804.09235.pdf, 2018
362018
A knowledge base from multilingual Wikipedias–yago3
F Mahdisoltani, J Biega, FM Suchanek
Technical report, Telecom ParisTech. http://suchanek. name/work/publicationsá…, 2014
102014
Learning representations for predicting future activities
M Zolfaghari, Í ăišek, SM Ali, F Mahdisoltani, C Zhang, T Brox
arXiv preprint arXiv:1905.03578, 2019
62019
WISECODE: wise image segmentation based on community detection
AA Abin, F Mahdisoltani, H Beigy
The Imaging Science Journal 62 (6), 327-336, 2014
52014
A New Image Segmentation Algorithm: A Community Detection Approach.
AA Abin, F Mahdisoltani, H Beigy
IICAI, 1047-1059, 2011
52011
Evaluating visual "common sense" using fine-grained classification and captioning tasks
R Goyal, F Mahdisoltani, G Berger, W Gharbieh, I Bax, R Memisevic
ICLR 2018, 2018
22018
Natural Gradient Variational Inference with Gaussian Mixture Models
F Mahdisoltani
arXiv preprint arXiv:2111.08002, 2021
12021
Hierarchical Video Understanding
F Mahdisoltani, R Memisevic, D Fleet
ECCV 2018, 2018
2018
The more fine-grained, the better for transfer learning
F Mahdisoltani, G Berger, W Gharbieh, R Memisevic, D Fleet
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