ResearchTrend.AI
Learning a smooth kernel regularizer for convolutional neural networks

Learning a smooth kernel regularizer for convolutional neural networks

Reuben Feinman
Brenden M. Lake
ArXiv (abs)PDFHTML

Papers citing "Learning a smooth kernel regularizer for convolutional neural networks"

4 / 4 papers shown
Title
Smooth Model Compression without Fine-Tuning
Smooth Model Compression without Fine-Tuning
Christina Runkel
Natacha Kuete Meli
Jovita Lukasik
A. Biguri
Carola-Bibiane Schönlieb
Michael Moeller
35
0
0
30 May 2025
NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces
NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces
Nian Wu
Miaomiao Zhang
51
10
0
13 Mar 2023
Hyper-Convolutions via Implicit Kernels for Medical Imaging
Hyper-Convolutions via Implicit Kernels for Medical Imaging
Tianyu Ma
Alan Q. Wang
Adrian Dalca
M. Sabuncu
SSL
77
1
0
06 Feb 2022
Hyper-Convolution Networks for Biomedical Image Segmentation
Hyper-Convolution Networks for Biomedical Image Segmentation
Tianyu Ma
Adrian Dalca
M. Sabuncu
SSeg
106
15
0
21 May 2021