Amal Rannen Triki
Amal Rannen Triki
Research Scientist at DeepMind
Verified email at google.com - 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
2232018
Encoder based lifelong learning
A Rannen, R Aljundi, MB Blaschko, T Tuytelaars
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
1392017
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
102018
Proceedings of the IEEE conference on computer vision and pattern recognition
D Berman, A Rannen Triki, MB Blaschko
92016
A bayesian optimization framework for neural network compression
X Ma, AR Triki, M Berman, C Sagonas, J Cali, MB Blaschko
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
72019
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/CVF International Conference on Computer Vision …, 2019
3*2019
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 e-prints, arXiv: 1710.06703, 2017
2017
Stochastic Function Norm Regularization of Deep Networks
A Rannen Triki, MB Blaschko
arXiv e-prints, arXiv: 1605.09085, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–11