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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
5952018
Encoder based lifelong learning
A Rannen, R Aljundi, MB Blaschko, T Tuytelaars
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
2512017
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
202019
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
162018
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
11*2019
On the role of optimization in double descent: A least squares study
I Kuzborskij, C Szepesvári, O Rivasplata, A Rannen-Triki, R Pascanu
Advances in Neural Information Processing Systems 34, 29567-29577, 2021
42021
Towards Better Visual Explanations for Deep Image Classifiers
A Grabska-Barwinska, A Rannen-Triki, O Rivasplata, A György
eXplainable AI approaches for debugging and diagnosis., 2021
12021
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J Bornschein, A Galashov, R Hemsley, A Rannen-Triki, Y Chen, ...
arXiv preprint arXiv:2211.11747, 2022
2022
Function Norms for Neural Networks: Theory and Applications
A Rannen Ep 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
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