55 citations · 138 across the 13 of their papers we have counts for
3 papers · 1 filter
Data-driven Verification of DNNs for Object Recognition
Clemens Otte, Yinchong Yang, Danny Benlin Oswan
The paper proposes a new testing approach for Deep Neural Networks (DNN) using gradient-free optimization to find perturbation chains that successfully falsify the tested DNN, goin…
Understanding Individual Decisions of CNNs via Contrastive Backpropagation
Jindong Gu, Yinchong Yang, Volker Tresp
A number of backpropagation-based approaches such as DeConvNets, vanilla Gradient Visualization and Guided Backpropagation have been proposed to better understand individual decisi…
Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang, Denis Krompass, Volker Tresp
The Recurrent Neural Networks and their variants have shown promising performances in sequence modeling tasks such as Natural Language Processing. These models, however, turn out t…