Amal Rannen Triki
Amal Rannen Triki
Research Scientist at DeepMind
Adresse e-mail validée de google.com - Page d'accueil
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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
3142018
Encoder based lifelong learning
A Rannen, R Aljundi, MB Blaschko, T Tuytelaars
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
1732017
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
132019
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
Stochastic function norm regularization of deep networks
AR Triki, MB Blaschko
arXiv preprint arXiv:1605.09085, 2016
6*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
2*2019
On the role of optimization in double descent: A least squares study
I Kuzborskij, C Szepesvári, O Rivasplata, A Rannen-Triki, R Pascanu
arXiv preprint arXiv:2107.12685, 2021
12021
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
Function Norms for Neural Networks: Supplementary Material
A Rannen-Triki, M Berman, V Kolmogorov, MB Blaschko
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