Deep neural networks (DNNs) are incredibly vulnerable to crafted,
imperc...
Deep neural networks are incredibly vulnerable to crafted,
human-imperce...
Existing low-rank tensor completion (LRTC) approaches aim at restoring a...
We introduce a new kind of linear transform named Deformable Butterfly
(...
Although many fields have witnessed the superior performance brought abo...
Elasticities in depth, width, kernel size and resolution have been explo...
Recent results have revealed an interesting observation in a trained
con...
Learning convolutional neural networks (CNNs) with low bitwidth is
chall...
The emerging edge computing has promoted immense interests in compacting...
Popular crowdsourcing techniques mostly focus on evaluating workers' lab...
This paper reports the demonstration of high-speed PAM-4 transmission us...