84 citations · 150 across the 22 of their papers we have counts for
3 papers · 1 filter
HAPI: Hardware-Aware Progressive Inference
Stefanos Laskaridis, Stylianos I. Venieris, Hyeji Kim +1
Convolutional neural networks (CNNs) have recently become the state-of-the-art in a diversity of AI tasks. Despite their popularity, CNN inference still comes at a high computation…
Efficient Neural Network Compression
Hyeji Kim, Muhammad Umar Karim Khan, Chong-Min Kyung
Network compression reduces the computational complexity and memory consumption of deep neural networks by reducing the number of parameters. In SVD-based network compression, the…
Automatic Rank Selection for High-Speed Convolutional Neural Network
Hyeji Kim, Chong-Min Kyung
Low-rank decomposition plays a central role in accelerating convolutional neural network (CNN), and the rank of decomposed kernel-tensor is a key parameter that determines the comp…