On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units

3 August 2015

Papers citing "On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units"

8 / 8 papers shown

Title
Shrinkage Initialization for Smooth Learning of Neural Networks Miao Cheng Feiyan Zhou Hongwei Zou Limin Wang AI4CE 36 0 0 12 Apr 2025
Pruning Distorted Images in MNIST Handwritten Digits Amarnath R Vinay Kumar 23 1 0 26 May 2023
Signature-Graph Networks Ali Hamdi Flora Salim D. Kim Xiaojun Chang 21 1 0 22 Oct 2021
FastSurfer -- A fast and accurate deep learning based neuroimaging pipeline Leonie Henschel Sailesh Conjeti Santiago Estrada K. Diers Bruce Fischl M. Reuter MedIm 28 387 0 09 Oct 2019
FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI Santiago Estrada Ran Lu Sailesh Conjeti Ximena Orozco-Ruiz Joana Panos-Willuhn M. Breteler M. Reuter MedIm 27 72 0 03 Apr 2019
SuperSpike: Supervised learning in multi-layer spiking neural networks Friedemann Zenke Surya Ganguli 32 558 0 31 May 2017
Competitive Multi-scale Convolution Zhibin Liao G. Carneiro 24 44 0 18 Nov 2015
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014