Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluation
Zihao Mo, Yejiang Yang, Shuaizheng Lu +1
In this paper, we propose a method of repairing compressed Feedforward Neural Networks (FNNs) based on equivalence evaluation of two neural networks. In the repairing framework, a…
cs.LG2023
Guaranteed Quantization Error Computation for Neural Network Model Compression
Wesley Cooke, Zihao Mo, Weiming Xiang
Neural network model compression techniques can address the computation issue of deep neural networks on embedded devices in industrial systems. The guaranteed output error computa…