Learning Compact Neural Networks with Regularization

5 February 2018

Papers citing "Learning Compact Neural Networks with Regularization"

13 / 13 papers shown

Title
Estimation of sparse linear regression coefficients under $L$ -subexponential covariates Takeyuki Sasai 28 0 0 24 Apr 2023
Provable Pathways: Learning Multiple Tasks over Multiple Paths Yingcong Li Samet Oymak MoE 26 4 0 08 Mar 2023
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 27 4 0 24 Aug 2022
Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak Mingchen Li Mahdi Soltanolkotabi AI4CE OOD 31 13 0 29 Apr 2021
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique Steph-Yves M. Louis Alireza Nasiri Fatima J. Rolland Cameron Mitro Jianjun Hu 66 9 0 17 Feb 2021
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020
Learning Compressed Transforms with Low Displacement Rank Anna T. Thomas Albert Gu Tri Dao Atri Rudra Christopher Ré 22 40 0 04 Oct 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition Samet Oymak Mahdi Soltanolkotabi 19 12 0 16 May 2018
PAC-Bayesian Margin Bounds for Convolutional Neural Networks Konstantinos Pitas Mike Davies P. Vandergheynst BDL 41 12 0 30 Dec 2017
Lifting high-dimensional nonlinear models with Gaussian regressors Christos Thrampoulidis A. S. Rawat 8 8 0 11 Dec 2017
Fast and Reliable Parameter Estimation from Nonlinear Observations Samet Oymak Mahdi Soltanolkotabi 27 25 0 23 Oct 2016
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 179 1,185 0 30 Nov 2014
Learning without Concentration S. Mendelson 85 334 0 01 Jan 2014