Gradient Descent for Low-Rank Functions

16 June 2022

Papers citing "Gradient Descent for Low-Rank Functions"

5 / 5 papers shown

Title
Unifying Low Dimensional Observations in Deep Learning Through the Deep Linear Unconstrained Feature Model Connall Garrod Jonathan P. Keating 41 8 0 09 Apr 2024
Low Rank Optimization for Efficient Deep Learning: Making A Balance between Compact Architecture and Fast Training Xinwei Ou Zhangxin Chen Ce Zhu Yipeng Liu 36 2 0 22 Mar 2023
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 130 167 0 29 Jan 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 0 28 Sep 2019
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 182 683 0 07 Dec 2010