Year  Title  Author 
2017

Robust Linear Representation via Exploiting Structure Prior 
D Wang, R He, L Wang, T Tan

2017

Local feature representation based on linear filtering with feature pooling and divisive normalization for remote sensing image classification 
L Wan, N Liu, Y Guo, H Huo, T Fang

2017

Mixed‐Integer Linear Programming on Work‐Rest Schedule Design for Construction Sites in Hot Weather 
W Yi, S Wang

2017

Deep Neural Networks with Elastic Rectified Linear Units for Object Recognition 
X Jiang, Y Pang, X Li, J Pan, Y Xie

2017

EE559–Deep learning 3a. Linear classifiers, perceptron 
F Fleuret

2017

Detect Network Anomalies Using A Linear Svm 
M Moradi, A Salehi, KA Zadeh

2017

AMPInspired Deep Networks for Sparse Linear Inverse Problems 
M Borgerding, P Schniter, S Rangan

2017

Reasoning with shapes: profiting cognitive susceptibilities to infer linear mapping transformations between shapes 
V Jalili

2017

Infant Asphyxia Detection Using Autoencoders Trained On Locally Linear EmbeddedReduced Mel Frequency Cepstrum … 
IM Yassin, A Zabidi, N Ismail, FHK Zaman, MF Shafie

2017

Linear Discriminant Generative Adversarial Networks 
Z Sun, M Ozay, T Okatani

2017

Load Forecasting using Linear Regression Analysis and Moving Average Technique in Time Series Model for RGUKT, RK Valley Campus HT Feeder 
MD Reddy, N Vishali

2017

Research on leaf species identification based on principal component and linear discriminant analysis 
L Zhang, Y Zheng, G Zhong, Q Wang

2017

Linear Guided Autoencoder: Representation Learning with Linearity 
H Ohno

2017

Improving Variational AutoEncoders using convex combination linear Inverse Autoregressive Flow 
JM Tomczak, M Welling

2017

Analysis and Optimization of fastText Linear Text Classifier 
V Zolotov, D Kung

2017

Flexible Rectified Linear Units for Improving Convolutional Neural Networks 
S Qiu, B Cai

2017

Linear Models and Deep Learning: Learning In Sequential Domains 
L Pasa, A Sperduti

2017

ZipML: Training Linear Models with EndtoEnd Low Precision, and a Little Bit of Deep Learning 
H Zhang, J Li, K Kara, D Alistarh, J Liu, C Zhang

2017

Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting 
A Oland, A Bansal, RB Dannenberg, B Raj

2017

Object detection using ensemble of linear classifiers with fuzzy adaptive boosting 
K Kim, HI Choi, K Oh

2017

Deep Learning Methods for Improved Decoding of Linear Codes 
E Nachmani, E Marciano, L Lugosch, WJ Gross

2017

Deep Mixture of Linear Inverse Regressions Applied to HeadPose Estimation 
S Lathuilière, R Juge, P Mesejo, R Munoz

2017

Progressive framework for deep neural networks: from linear to nonlinear 
S Jie, Z Zhicheng, S Fei, C Anni

2017

A Classification Method for Moving Targets in the Wild Based on Microphone Array and Linear Sparse AutoEncoder 
F Guo, J Huang, X Zhang, X You, X Zu, Q Zhao, Y Ding

2017

The Study of Architecture MLP with Linear Neurons in Order to Eliminate the “vanishing Gradient” Problem 
J Kolbusz, P Rozycki, BM Wilamowski

2017

Linear Disentangled Representation Learning for Facial Actions 
X Xiang, TD Tran

2017

Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning 
FE Curtis, K Scheinberg

2017

DLML: Deep linear mappings learning for face superresolution with nonlocalpatch 
T Lu, L Pan, J Jiangs, Y Zhang, Z Xiong

2016

Improving Deep Neural Network with Multiple Parametric Exponential Linear Units 
Y Li, C Fan, Y Li, Q Wu

2016

Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Reidentification 
L Wu, C Shen, A Hengel

2016

HighDimensional and LargeScale Anomaly Detection using a Linear OneClass SVM with Deep Learning 
SM Erfani, S Rajasegarar, S Karunasekera, C Leckie

2016

Linear Discrimination Dictionary Learning for Shape Descriptors 
M Wang, J Xie, F Zhu, Y Fang

2016

Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units 
W Shang, K Sohn, D Almeida, H Lee

2016

Understanding Deep Neural Networks with Rectified Linear Units 
R Arora, A Basu, P Mianjy, A Mukherjee

2016

Trusting SVM for Piecewise Linear CNNs 
L Berrada, A Zisserman, MP Kumar

2016

Statistical physics of linear and bilinear inference problems 
C Schülke

2016

Parametric Exponential Linear Unit for Deep Convolutional Neural Networks 
L Trottier, P Giguère, B Chaib

2016

Learning to Decode Linear Codes Using Deep Learning 
E Nachmani, Y Beery, D Burshtein

2016

Guided Linear Dimensionality Reduction by Stochastic Gradient Descent 
M Richter

2016

Onsagercorrected deep learning for sparse linear inverse problems 
M Borgerding, P Schniter

2016

OnsagerCorrected Deep Networks for Sparse Linear Inverse Problems 
M Borgerding, P Schniter

2016

dMath: Distributed Linear Algebra for DL 
S Eliuk, C Upright, H Vardhan, S Walsh, T Gale

2015

Algorithm and Theoretical Analysis for Domain Adaptation Feature Learning with Linear Classifiers 
W Jiang, F Nie, FK Chung, H Huang

2015

Maximum Entropy Linear Manifold for Learning Discriminative Lowdimensional Representation 
WM Czarnecki, R Józefowicz, J Tabor

2015

Optimizing Scheduling of Refinery Operations based on Piecewise Linear Models 
X Gao, Y Jiang, T Chen, D Huang

2015

Human Action Recognition Based on Recognition of Linear Patterns in Action Bank Features Using Convolutional Neural Networks 
EP Ijjina, CK Mohan

2015

SOM and Feature Weights Based Method for Dimensionality Reduction in Large Gauss Linear Models 
F Pavón, J Vega, SD Canto

2015

Deep Learning with Sshaped Rectified Linear Activation Units 
X Jin, C Xu, J Feng, Y Wei, J Xiong, S Yan

2015

On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units 
Z Liao, G Carneiro

2015

Marginalizing Stacked Linear Denoising Autoencoders 
M Chen, KQ Weinberger, ZE Xu, F Sha

2015

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) 
DA Clevert, T Unterthiner, S Hochreiter

2015

Multithreshold Entropy Linear Classifier: Theory and Applications 
WM Czarnecki, J Tabor

2015

Piecewise Linear Activation Functions For More Efficient Deep Networks 
CY Fu, AC Berg

2015

Deep Linear Discriminant Analysis 
M Dorfer, R Kelz, G Widmer

2015

Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images 
M Watter, JT Springenberg, J Boedecker, M Riedmiller

2015

An Improved Method for Predicting Linear Bcell Epitope Using Deep Maxout Networks 
L Yao, HZ Chi, GE Meng, PANX Ming

2015

On Combining Multiple Instance Linear SVM and Bag Splitting for High Performance Visual Object Localization 
K Huang, W Ren, D Tao, T Tan

2015

A Simple Way to Initialize Recurrent Networks of Rectified Linear Units 
QV Le, N Jaitly, GE Hinton

2015

How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances? 
S An, UWA EDU, F Boussaid, M Bennamoun

2014

Writer Adaptation using Bottleneck Features and Discriminative Linear Regression for Online Handwritten Chinese Character Recognition 
J Du, JS Hu, B Zhu, S Wei, LR Dai

2014

A linear approach for sparse coding by a twolayer neural network 
A Montalto, G Tessitore, R Prevete

2014

Pretraining of Recurrent Neural Networks via Linear Autoencoders 
L Pasa, A Sperduti

2014

Supplementary Material: On the Number of Linear Regions of Deep Neural Networks 
G Montúfar, R Pascanu, K Cho, Y Bengio

2014

Sparse Representations, Numerical Linear Algebra, and Optimization 
G Kutyniok, M Saunders, S Wright, O Yilmaz
