Amal Rannen Triki
Amal Rannen Triki
PhD researcher, KU Leuven
Verified email at esat.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks
M Berman, A Rannen Triki, MB Blaschko
1042018
Encoder based lifelong learning
A Rannen, R Aljundi, MB Blaschko, T Tuytelaars
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
822017
Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks
AR Triki, MB Blaschko, YM Jung, S Song, HJ Han, SI Kim, C Joo
Computerized Medical Imaging and Graphics 69, 21-32, 2018
62018
Stochastic function norm regularization of deep networks
AR Triki, MB Blaschko
arXiv preprint arXiv:1605.09085, 2016
4*2016
Function Norms for Neural Networks
A Rannen-Triki, M Berman, V Kolmogorov, MB Blaschko
Proceedings of the IEEE International Conference on Computer Vision …, 2019
3*2019
A Bayesian Optimization Framework for Neural Network Compression
X Ma, AR Triki, M Berman, C Sagonas, J Cali, MB Blaschko
Proceedings of the IEEE International Conference on Computer Vision, 10274-10283, 2019
22019
Function Norms for Neural Networks: Theory and Applications
A RANNEN-TRIKI
2020
Yes, IoU loss is submodular-as a function of the mispredictions
M Berman, MB Blaschko, AR Triki, J Yu
arXiv preprint arXiv:1809.01845, 2018
2018
Function Norms and Regularization in Deep Networks
A Rannen Triki, M Berman, MB Blaschko
arXiv preprint arXiv:1710.06703, 2017
2017
Stochastic Function Norm Regularization of Deep Networks
A Rannen Triki, MB Blaschko
arXiv preprint arXiv:1605.09085, 2016
2016
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Articles 1–10