72 citations · 291 across the 17 of their papers we have counts for
4 papers · 1 filter
Adaptive Loss-aware Quantization for Multi-bit Networks
Zhongnan Qu, Zimu Zhou, Yun Cheng +1
We investigate the compression of deep neural networks by quantizing their weights and activations into multiple binary bases, known as multi-bit networks (MBNs), which accelerate…
Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees
Dominik Baumann, Fabian Mager, Romain Jacob +3
Closing feedback loops fast and over long distances is key to emerging cyber-physical applications; for example, robot motion control and swarm coordination require update interval…
Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems
Fabian Mager, Dominik Baumann, Romain Jacob +3
This abstract describes the first public demonstration of feedback control and coordination of multiple physical systems over a dynamic multi-hop low-power wireless network with up…
Pruning-Aware Merging for Efficient Multitask Inference
Xiaoxi He, Dawei Gao, Zimu Zhou +2
Many mobile applications demand selective execution of multiple correlated deep learning inference tasks on resource-constrained platforms. Given a set of deep neural networks, eac…