| 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 | 198 | 2018 |
| Encoder based lifelong learning A Rannen, R Aljundi, MB Blaschko, T Tuytelaars Proceedings of the IEEE International Conference on Computer Vision, 1320-1328, 2017 | 129 | 2017 |
| 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 | 8 | 2018 |
| 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 | 5 | 2019 |
| Proceedings of the IEEE conference on computer vision and pattern recognition D Berman, A Rannen Triki, MB Blaschko | 5 | 2016 |
| Stochastic function norm regularization of deep networks AR Triki, MB Blaschko arXiv preprint arXiv:1605.09085, 2016 | 4* | 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 | 3* | 2019 |
| 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 |
Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
