Year  Title  Author 
2017

Wasserstein Distributional Robustness and Regularization in Statistical Learning 
R Gao, X Chen, AJ Kleywegt

2017

Stabilizing Training of Generative Adversarial Networks through Regularization 
K Roth, A Lucchi, S Nowozin, T Hofmann

2017

Convergence analysis of BP neural networks via sparse response regularization 
J Wang, Y Wen, Z Ye, L Jian, H Chen

2017

A deep learning SAR ATR system using regularization and prioritized classes 
S Wagner, K Barth, S Brüggenwirth

2017

Implicit Regularization in Deep Learning 
B Neyshabur

2017

Neural Networks Regularization Through Invariant Features Learning 
S Belharbi, C Chatelain, R Herault, S Adam

2017

Spectral Norm Regularization for Improving the Generalizability of Deep Learning 
Y Yoshida, T Miyato

2017

Crossmodal Deep Metric Learning with Multitask Regularization 
X Huang, Y Peng

2017

GAR: An efficient and scalable Graphbased Activity Regularization for semisupervised learning 
O Kilinc, I Uysal

2017

A learned sparseness and IGMRFbased regularization framework for dense disparity estimation using unsupervised feature learning 
S Nahar, MV Joshi

2017

GLSRVAE: Geodesic Latent Space Regularization for Variational AutoEncoder Architectures 
G Hadjeres, F Nielsen, F Pachet

2017

Single Image SuperResolution via Adaptive TransformBased Nonlocal SelfSimilarity Modeling and LearningBased Gradient Regularization 
H Chen, X He, L Qing, Q Teng

2017

Imposing ClassWise Feature Similarity in Stacked Autoencoders by Nuclear Norm Regularization 
K Gupta, A Majumdar

2017

Optimization of DBN using Regularization Methods Applied for Recognizing Arabic Handwritten Script 
M Elleuch, N Tagougui, M Kherallah

2017

A Regularization Post Layer: An Additional Way How to Make Deep Neural Networks Robust 
J Vaněk, J Zelinka, D Soutner, J Psutka

2017

Batch regularization to converge the deep neural network for indoor RGBD scene understanding 
H Hayat, Y Liu, M Shah, A Ahmad

2017

Improving Pooling Method for Regularization of Convolutional Networks Based On the Failure Probability Density 
Y Zhang, BM Shi

2017

On Generalization and Regularization in Deep Learning 
P Lemberger

2017

Geometry of Optimization and Implicit Regularization in Deep Learning 
B Neyshabur, R Tomioka, R Salakhutdinov, N Srebro

2017

Input Layer Regularization of Multilayer Feedforward Neural Networks 
F Li, JM Zurada, Y Liu, W Wu

2016

DropConnect Regularization Method with Sparsity Constraint for Neural Networks 
L Zifeng, J Xiaojun, W Xiaohan, H Hai, TAN Youheng

2016

Single image superresolution using regularization of nonlocal steering kernel regression 
K Zhang, X Gao, J Li, H Xia

2016

Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization 
T Ochiai, S Matsuda, H Watanabe, S Katagiri

2016

Discriminative Regularization for Generative Models 
A Lamb, V Dumoulin, A Courville

2016

Sparse Autoencoder with Smoothed l_1 Regularization 
L Zhang, Y Lu, Z Zhang, B Wang, F Li

2016

Regularization for Unsupervised Deep Neural Nets 
B Wang, D Klabjan

2016

The Effects of Regularization on Learning Facial Expressions with Convolutional Neural Networks 
T Hinz, P Barros, S Wermter

2016

A Domain Adaptation Regularization for Denoising Autoencoders 
S Clinchant, G Csurka, B Chidlovskii

2016

A novel companion objective function for regularization of deepconvolutional neural networks 
W Sun, F Su

2016

Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution 
H Dirks, J Geiping, D Cremers, M Moeller

2015

DropELM: Fast Neural Network Regularization with Dropout and DropConnect 
A Iosifidis, A Tefas, I Pitas

2015

Latent Variable Modeling with DiversityInducing Mutual Angular Regularization 
P Xie, Y Deng, E Xing

2015

Elastic regularization in restricted Boltzmann machines: Dealing with $ p\ gg N$ 
S Zhang

2015

SwissChocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost TextClassification for Sentiment 
F Uzdilli, M Jaggi, D Egger, P Julmy, L Derczynski

2015

GraphConnect: A Regularization Framework for Neural Networks 
J Huang, Q Qiu, R Calderbank, G Sapiro

2015

Mask selective regularization for restricted Boltzmann machines 
J Mansanet, A Albiol, R Paredes, A Albiol

2015

Regularization Of ContextDependent Deep Neural Networks With ContextIndependent MultiTask Training 
P Bell, S Renals

2015

On the Generalization Error Bounds of Neural Networks under DiversityInducing Mutual Angular Regularization 
P Xie, Y Deng, E Xing

2015

Universum Prescription: Regularization using Unlabeled Data 
X Zhang, Y LeCun

2014

A Survey of Regularization Methods for Deep Neural Network 
N Tripathi, A Jadeja

2014

Neural Network Regularization via Robust Weight Factorization 
J Rudy, W Ding, DJ Im, GW Taylor

2014

In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning 
B Neyshabur, R Tomioka, N Srebro
