LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time

8 October 2021

Papers citing "LCS: Learning Compressible Subspaces for Adaptive Network Compression at Inference Time"

4 / 4 papers shown

Title
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems Juliano S. Assine José Cândido Silveira Santos Filho Eduardo Valle Marco Levorato 19 2 0 22 Jun 2023
All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management Yifan Gong Zheng Zhan Pu Zhao Yushu Wu Chaoan Wu Caiwen Ding Weiwen Jiang Minghai Qin Yanzhi Wang 23 7 0 09 Dec 2022
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks Siddhartha Datta N. Shadbolt AAML 21 6 0 07 Mar 2022
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,549 0 17 Apr 2017