8 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.DC2019★ 2 cited
Tuning Algorithms and Generators for Efficient Edge Inference
Rawan Naous, Lazar Supic, Yoonhwan Kang +3
A surge in artificial intelligence and autonomous technologies have increased the demand toward enhanced edge-processing capabilities. Computational complexity and size of state-of…
cs.LG2018★ 2 cited
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression
Lazar Supic, Rawan Naous, Ranko Sredojevic +2
Deep neural networks (DNNs) have become the state-of-the-art technique for machine learning tasks in various applications. However, due to their size and the computational complexi…
cs.LG2017★ 8 cited
Structured Deep Neural Network Pruning via Matrix Pivoting
Ranko Sredojevic, Shaoyi Cheng, Lazar Supic +2
Deep Neural Networks (DNNs) are the key to the state-of-the-art machine vision, sensor fusion and audio/video signal processing. Unfortunately, their computation complexity and tig…