215 citations · 231 across the 6 of their papers we have counts for
3 papers · 1 filter
Function Norms and Regularization in Deep Networks
Amal Rannen Triki, Maxim Berman, Matthew B. Blaschko
Deep neural networks (DNNs) have become increasingly important due to their excellent empirical performance on a wide range of problems. However, regularization is generally achiev…
Encoder Based Lifelong Learning
Amal Rannen Triki, Rahaf Aljundi, Mathew B. Blaschko +1
This paper introduces a new lifelong learning solution where a single model is trained for a sequence of tasks. The main challenge that vision systems face in this context is catas…
Intraoperative margin assessment of human breast tissue in optical coherence tomography images using deep neural networks
Amal Rannen Triki, Matthew B. Blaschko, Yoon Mo Jung +4
Objective: In this work, we perform margin assessment of human breast tissue from optical coherence tomography (OCT) images using deep neural networks (DNNs). This work simulates a…