9 citations · 15 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 9 cited
Robustness to Pruning Predicts Generalization in Deep Neural Networks
Lorenz Kuhn, Clare Lyle, Aidan N. Gomez +2
Existing generalization measures that aim to capture a model's simplicity based on parameter counts or norms fail to explain generalization in overparameterized deep neural network…
cs.CV2019★ 6 cited
Efficient Smoothing of Dilated Convolutions for Image Segmentation
Thomas Ziegler, Manuel Fritsche, Lorenz Kuhn +1
Dilated Convolutions have been shown to be highly useful for the task of image segmentation. By introducing gaps into convolutional filters, they enable the use of larger receptive…
cs.CL2018
Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks
Ivan Girardi, Pengfei Ji, An-phi Nguyen +5
We present an operational component of a real-world patient triage system. Given a specific patient presentation, the system is able to assess the level of medical urgency and issu…