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Amal Rannen Triki
Amal Rannen Triki
Research Scientist at Google DeepMind
Geverifieerd e-mailadres voor google.com - Homepage
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Jaar
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
10972018
Encoder based lifelong learning
A Rannen-Triki*, R Aljundi*, MB Blaschko, ...
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
4172017
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
272019
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
222018
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, ...
JMLR 24, 1-77, 2023
162023
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
142021
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
14*2019
Revisiting evaluation metrics for semantic segmentation: Optimization and evaluation of fine-grained intersection over union
Z Wang, M Berman, A Rannen-Triki, P Torr, D Tuia, T Tuytelaars, LV Gool, ...
Advances in Neural Information Processing Systems 36, 2024
112024
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
62023
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
42021
Towards robust and efficient continual language learning
A Fisch, A Rannen-Triki, R Pascanu, J Bornschein, A Lazaridou, ...
arXiv preprint arXiv:2307.05741, 2023
32023
Towards compute-optimal transfer learning
M Caccia, A Galashov, A Douillard, A Rannen-Triki, D Rao, M Paganini, ...
arXiv preprint arXiv:2304.13164, 2023
22023
Transformers for Supervised Online Continual Learning
J Bornschein, Y Li, A Rannen-Triki
arXiv preprint arXiv:2403.01554, 2024
12024
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models
A Rannen-Triki, J Bornschein, R Pascanu, M Hutter, A György, ...
arXiv preprint arXiv:2403.01518, 2024
12024
Mind the Graph When Balancing Data for Fairness or Robustness
J Schrouff, A Bellot, A Rannen-Triki, A Malek, I Albuquerque, A Gretton, ...
arXiv preprint arXiv:2406.17433, 2024
2024
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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Artikelen 1–17