Statistical Guarantees for Regularized Neural Networks

30 May 2020

Papers citing "Statistical Guarantees for Regularized Neural Networks"

12 / 12 papers shown

Title
Regularization can make diffusion models more efficient Mahsa Taheri Johannes Lederer 100 0 0 13 Feb 2025
Fast Training of Sinusoidal Neural Fields via Scaling Initialization Taesun Yeom Sangyoon Lee Jaeho Lee 61 2 0 07 Oct 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing Xiaofeng Lin Qifan Song Yi Tian Xu Belinda Zeng Guang Cheng SSL 26 0 0 26 Jan 2024
Statistical learning by sparse deep neural networks Felix Abramovich BDL 24 1 0 15 Nov 2023
Statistical guarantees for sparse deep learning Johannes Lederer 19 11 0 11 Dec 2022
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks Mahsa Taheri Fang Xie Johannes Lederer 31 0 0 09 May 2022
A PAC-Bayes oracle inequality for sparse neural networks Maximilian F. Steffen Mathias Trabs UQCV 21 2 0 26 Apr 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu Fang Yao Qiuran Yao Huiming Zhang 38 10 0 10 Jan 2022
$Function approximation by deep neural networks with parameters $\{0,\pm \frac{1}{2}, \pm 1, 2\}$$ Function approximation by deep neural networks with parameters $\{0,\pm \frac{1}{2}, \pm 1, 2\}$ A. Beknazaryan 18 5 0 15 Mar 2021
Layer Sparsity in Neural Networks Mohamed Hebiri Johannes Lederer 36 10 0 28 Jun 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 448 15,652 0 02 Nov 2015
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 577 0 27 Feb 2015