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Amal Rannen Triki
Amal Rannen Triki
Research Scientist at DeepMind
Email verificata su google.com - Home page
Titolo
Citata da
Citata da
Anno
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
7602018
Encoder based lifelong learning
A Rannen-Triki*, R Aljundi*, MB Blaschko, ...
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
3152017
A Bayesian optimization framework for neural network compression
X Ma*, A Rannen-Triki*, M Berman, C Sagonas, J Cali, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
212019
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
182018
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
72021
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
52022
The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks. arXiv 2017
M Berman, AR Triki, MB Blaschko
arXiv preprint arXiv:1705.08790, 0
5
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
22021
Encoder Based Lifelong Learning.
A Rannen-Triki*, R Aljundi*, MB Blaschko, ...
CoRR, 2017
22017
Kalman Filter for Online Classification of Non-Stationary Data
MK Titsias, A Galashov, A Rannen-Triki, R Pascanu, YW Teh, ...
arXiv preprint arXiv:2306.08448, 2023
12023
Towards Robust and Efficient Continual Language Learning
A Fisch, A Rannen-Triki, R Pascanu, J Bornschein, A Lazaridou, ...
arXiv preprint arXiv:2307.05741, 2023
2023
Towards Compute-Optimal Transfer Learning
M Caccia, A Galashov, A Douillard, A Rannen-Triki, D Rao, M Paganini, ...
arXiv preprint arXiv:2304.13164, 2023
2023
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
Il sistema al momento non puň eseguire l'operazione. Riprova piů tardi.
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