Paper accepted at DAC 2020


We have received acceptance for a paper entitled "ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks", authored by Alexander Frickenstein, Manoj-Rohit Vemparala, Nael Fasfous, Laura Hauenschild, Naveen-Shankar Nagaraja, Christian Unger, and Walter Stechele. In this paper, the authors propose an autoencoder-based pruning method for Convolutional Neural Networks, considering computational and memory restrictions on embedded platforms.

The Design Automation Conference (DAC) is the premier international event for design automation of electronic systems. DAC 2020 will take place in San Francisco from July 19 to 23, 2020, https://www.dac.com/