15 citations · 25 across the 5 of their papers we have counts for
3 papers · 1 filter
Explaining Deep Models through Forgettable Learning Dynamics
Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib
Even though deep neural networks have shown tremendous success in countless applications, explaining model behaviour or predictions is an open research problem. In this paper, we a…
Open-Set Recognition with Gradient-Based Representations
Jinsol Lee, Ghassan AlRegib
Neural networks for image classification tasks assume that any given image during inference belongs to one of the training classes. This closed-set assumption is challenged in real…
A novel attention model for salient structure detection in seismic volumes
Muhammad Amir Shafiq, Zhiling Long, Haibin Di +1
A new approach to seismic interpretation is proposed to leverage visual perception and human visual system modeling. Specifically, a saliency detection algorithm based on a novel a…