Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces

20 March 2021

Xiaolin Huang

Papers citing "Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces"

3 / 3 papers shown

Title
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? Sheikh Shams Azam Seyyedali Hosseinalipour Qiang Qiu Christopher G. Brinton FedML 26 20 0 01 Feb 2022
Subspace Adversarial Training Tao Li Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML OOD 44 56 0 24 Nov 2021
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 950 20,572 0 17 Apr 2017