Amal Rannen Triki
Amal Rannen Triki
Research Scientist at Google DeepMind
Verified email at - Homepage
Cited by
Cited by
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
Encoder based lifelong learning
A Rannen-Triki*, R Aljundi*, MB Blaschko, ...
Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017
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
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
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
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
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
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
Towards robust and efficient continual language learning
A Fisch, A Rannen-Triki, R Pascanu, J Bornschein, A Lazaridou, ...
arXiv preprint arXiv:2307.05741, 2023
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
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
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
Towards compute-optimal transfer learning
M Caccia, A Galashov, A Douillard, A Rannen-Triki, D Rao, M Paganini, ...
arXiv preprint arXiv:2304.13164, 2023
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
Transformers for Supervised Online Continual Learning
J Bornschein, Y Li, A Rannen-Triki
arXiv preprint arXiv:2403.01554, 2024
Function Norms for Neural Networks: Theory and Applications
A Rannen Ep Triki
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
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