Sima Behpour
Sima Behpour
Vahvistettu sähköpostiosoite verkkotunnuksessa andrew.cmu.edu
Nimike
Viittaukset
Viittaukset
Vuosi
Adversarial Cost-Sensitive Classification.
K Asif, W Xing, S Behpour, BD Ziebart
UAI, 92-101, 2015
462015
Efficient and consistent adversarial bipartite matching
R Fathony, S Behpour, X Zhang, B Ziebart
International Conference on Machine Learning, 1457-1466, 2018
132018
ARC: Adversarial robust cuts for semi-supervised and multi-label classification
S Behpour, W Xing, B Ziebart
AAAI Conference on Artificial Intelligence, 2704--2711, 2018
132018
Pattern recognition in computational molecular biology: techniques and approaches
M Elloumi, C Iliopoulos, JTL Wang, AY Zomaya
John Wiley & Sons, 2015
132015
Ada: Adversarial data augmentation for object detection
S Behpour, KM Kitani, BD Ziebart
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1243-1252, 2019
52019
Consistent robust adversarial prediction for general multiclass classification
R Fathony, K Asif, A Liu, MA Bashiri, W Xing, S Behpour, X Zhang, ...
arXiv preprint arXiv:1812.07526, 2018
52018
WiCV 2018: The Fourth Women In Computer Vision Workshop
I Demir, D Bazazian, A Romero, V Sharmanska, LP Tchapmi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
32018
Addressing covariate shift in active learning with adversarial prediction
A Liu, K Asif, W Xing, S Behpour, B D Ziebart, L Reyzin
ICML 2015 workshop of Active learning, 2015
32015
Active learning for probabilistic structured prediction of cuts and matchings
S Behpour, A Liu, B Ziebart
International Conference on Machine Learning, 563-572, 2019
22019
Adversarially optimizing intersection over union for object localization tasks
S Behpour, KM Kitani, BD Ziebart
CoRR, abs/1710.07735, 2017
22017
Active learning in video tracking
S Behpour
arXiv preprint arXiv:1912.12557, 2019
12019
ADA: A game-theoretic perspective on data augmentation for object detection
S Behpour, KM Kitani, BD Ziebart
arXiv preprint arXiv:1710.07735, 2017
12017
Pattern Recognition in Computational Molecular Biology
M Elloumi, CS Iliopoulos, JTL Wang, AY Zomaya
Wiley Series on Bioinformatics: Computational Techniques and Engieering, 2016
12016
Adversarial methods improve object localization
S Behpour, BD Ziebart
Advances in Neural Information Processing Systems Workshop, 2016
12016
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer
S Lee, S Behpour, E Eaton
2020
Adversarial Structural Learning: Approximating Training Data for Multi-Variate Predictions
S Behpour
University of Illinois at Chicago, 2018
2018
PERSPECTIVES ALGORITHMIC OF THE STRING BARCODING PROBLEMS
S Behpour, B DasGupta
Pattern Recognition in Computational Molecular Biology: Techniques and …, 2015
2015
A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks
S Behpour, BD Ziebart
AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and …, 2015
2015
Algorithmic Perspectives of the String Barcoding Problems
S Behpour, B DasGupta
2013
Addressing Covariate Shift in Active Learning with Adversarial Prediction
S Behpour, EDUBD Ziebart, EDUL Reyzin, UIC EDU
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Artikkelit 1–20