Year  Title  Author 
2017

Representation Learning by Learning to Count 
M Noroozi, H Pirsiavash, P Favaro

2017

Representation learning via DualAutoencoder for recommendation 
F Zhuang, Z Zhang, M Qian, C Shi, X Xie, Q He

2017

SuperpixelBased Difference Representation Learning for Change Detection in Multispectral Remote Sensing Images 
M Gong, T Zhan, P Zhang, Q Miao

2017

Representation Learning with Pairwise Constraints for Collaborative Ranking 
F Zhuang, D Luo, NJ Yuan, X Xie, Q He

2017

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification 
D Lin, K Fu, Y Wang, G Xu, X Sun

2017

CMGANs: Crossmodal Generative Adversarial Networks for Common Representation Learning 
Y Peng, J Qi, Y Yuan

2017

Neural Discrete Representation Learning 
A Oord, O Vinyals, K Kavukcuoglu

2017

Deconvolutional Paragraph Representation Learning 
Y Zhang, D Shen, G Wang, Z Gan, R Henao, L Carin

2017

NIPS 2016 Workshop on Representation Learning in Artificial and Biological Neural Networks (MLINI 2016) 
L Wehbe, A Nunez

2017

Representation Learning and Adversarial Generation of 3D Point Clouds 
P Achlioptas, O Diamanti, I Mitliagkas, L Guibas

2017

MultiTask Representation Learning 
MR Bouguelia, S Pashami, S lawomir Nowaczyk

2017

Deep representation learning for human motion prediction and classification 
J Bütepage, M Black, D Kragic, H Kjellström

2017

Linear Guided Autoencoder: Representation Learning with Linearity 
H Ohno

2017

Inductive Representation Learning on Large Graphs 
WL Hamilton, R Ying, J Leskovec

2017

Deep Unsupervised Representation Learning for Remote Sensing Images 
DY Lin

2017

Representation Learning for Retinal Vasculature Embeddings 
L Giancardo, K Roberts, Z Zhao

2017

ActionAffectGender Classification using MultiTask Representation Learning 
TJ Shields, MR Amer, M Ehrlich, A Tamrakar

2017

Representation Learning based Assistive System for Persons with Dysarthria 
S Chandrakala, N Rajeswari

2017

KernelBased Multilayer Extreme Learning Machines for Representation Learning 
CM Wong, CM Vong, PK Wong, J Cao

2017

Representation Learning in Large Attributed Graphs 
NK Ahmed, RA Rossi, R Zhou, JB Lee, X Kong

2017

Crossmodal Common Representation Learning by Hybrid Transfer Network 
X Huang, Y Peng, M Yuan

2017

Representation Learning on Large and Small Data 
CN Chou, CK Shie, FC Chang, J Chang, EY Chang

2017

Towards Representation Learning for Biomedical Concept Detection in Medical Images: UA. PT Bioinformatics in ImageCLEF 2017 
E Pinho, JF Silva, JM Silva, C Costa

2017

Domain Adaptation Using Representation Learning for the Classification of Remote Sensing Images 
A Elshamli, GW Taylor, A Berg, S Areibi

2017

Common Representation Learning Using Stepbased Correlation MultiModal CNN 
G Bhatt, P Jha, B Raman

2017

Transitive Invariance for Selfsupervised Visual Representation Learning 
X Wang, K He, A Gupta

2017

Deep Multimodal Representation Learning from Temporal Data 
X Yang, P Ramesh, R Chitta, S Madhvanath, EA Bernal

2017

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

2017

Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking 
V Vukotic, C Raymond, G Gravier

2016

Bayesian Representation Learning With Oracle Constraints 
T Karaletsos, S Belongie, C Tech, G Rätsch

2016

Representation learning for mammography mass lesion classificationwith convolutional neural networks 
J Arevalo, FA González, R Ramos

2016

Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization 
Z Wang, W Song, L Liu, F Zhang, J Xue, Y Ye, M Fan

2016

New Techniques in Deep Representation Learning 
G Andrew, E Todorov, E Fox, C Guestrin, L Zettlemoyer

2016

Multilayer Representation Learning for Medical Concepts 
E Choi, MT Bahadori, E Searles, C Coffey, J Sun

2016

Combining Generative and Discriminative Representation Learning for Lung CT Analysis with Convolutional Restricted Boltzmann Machines 
G van Tulder, M de Bruijne

2016

Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks 
U Shaham, R Lederman

2016

Superresolution of medical image using representation learning 
X Yang, S Zhant, C Hu, Z Liang, D Xie

2016

Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data 
J Wang, Y Cheng, RS Feris

2016

Representation learning of sequential data with application in bioinformatics 
M Brbic

2016

Deep MultiView Representation Learning for Multimodal Features of the Schizophrenia and Schizoaffective Disorder 
J Qi, J Tejedor

2016

Facial Attributes Classification Using MultiTask Representation Learning 
M Ehrlich, TJ Shields, T Almaev, MR Amer

2016

Semantic Noise Modeling for Better Representation Learning 
HE Kim, S Hwang, K Cho

2016

Classifying spatial trajectories using representation learning 
Y Endo, H Toda, K Nishida, J Ikedo

2016

A Distributed Deep Representation Learning Model for Big Image Data Classification 
L Dong, N Lv, Q Zhang, S Xie, L He, M Mao

2016

Local Invariance Representation Learning Algorithm with Multilayer Extreme Learning Machine 
X Jia, X Li, H Du, B Bhanu

2016

Robust Face Recognition with Deep MultiView Representation Learning 
J Li, J Zhao, F Zhao, H Liu, J Li, S Shen, J Feng, T Sim

2016

Theory reconstruction: a representation learning view on predicate invention 
S Dumancic, H Blockeel

2016

Binary representation learning in computer vision 
F Shen, H Zhang, Y Yang, C Shen

2016

ActionAffect Classification and Morphing using MultiTask Representation Learning 
TJ Shields, MR Amer, M Ehrlich, A Tamrakar

2016

Stacked Deep Polynomial Network Based Representation Learning for Tumor Classification with Small Ultrasound Image Dataset 
J Shi, S Zhou, X Liu, Q Zhang, M Lu, T Wang

2016

Deep Symbolic Representation Learning for Heterogeneous Timeseries Classification 
S Zhang, S Bahrampour, N Ramakrishnan, M Shah

2016

Representation Learning From Time Labelled Heterogeneous Data for Mobile Crowdsensing 
C Ma, Q Zhu, S Wu, B Liu

2016

Representation Learning on Time Series with Symbolic Approximation and Deep Learning 
Z Wang

2016

Exploring Representation Learning With CNNs for FrametoFrame EgoMotion Estimation 
G Costante, M Mancini, P Valigi, TA Ciarfuglia

2016

Domain Adaptation and Domain Generalization with Representation Learning 
M Ghifary

2016

Hierarchical Representation Learning for Kinship Verification 
N Kohli, M Vatsa, R Singh, A Noore, A Majumdar

2016

Representation Learning for Homophilic Preferences 
TT Nguyen, HW Lauw

2016

CURL: Image Classification using Cotraining and Unsupervised Representation Learning 
S Bianco, G Ciocca, C Cusano

2016

A deep semantic framework for multimodal representation learning 
C Wang, H Yang, C Meinel

2016

iCaRL: Incremental Classifier and Representation Learning 
SA Rebuffi, A Kolesnikov, CH Lampert

2016

Multimodal and Crossmodal Representation Learning from Textual and Visual Features with Bidirectional Deep Neural Networks for Video Hyperlinking 
V Vukotic, C Raymond, G Gravier

2015

Apprendimento di Modelli Grafici (Probabilistici) per il Representation Learning 
PP di Ricerca

2015

Representation Learning for SingleChannel Source Separation and Bandwidth Extension 
M Zoehrer, R Peharz, F Pernkopf

2015

Image Representation Learning by Deep Appearance and Spatial Coding 
B Liu, J Liu, Z Li, H Lu

2015

Probabilistic slow feature analysis‐based representation learning from massive process data for soft sensor modeling 
C Shang, B Huang, F Yang, D Huang

2015

Unsupervised Visual Representation Learning by Context Prediction 
C Doersch, A Gupta, AA Efros

2015

On Deep MultiView Representation Learning 
W Wang, R Arora, K Livescu, J Bilmes

2015

Representation Learning with Deep Extreme Learning Machines for Efficient Image Set Classification 
M Uzair, F Shafait, B Ghanem, A Mian

2015

Training Stacked Denoising Autoencoders for Representation Learning 
J Liang, K Kelly

2015

Deep Translayer Unsupervised Networks for Representation Learning 
W Zhu, J Miao, L Qing, X Chen

2015

When crowds hold privileges: Bayesian unsupervised representation learning with oracle constraints 
T Karaletsos, S Belongie, G Rätsch

2015

EndtoEnd PhotoSketch Generation via Fully Convolutional Representation Learning 
L Zhang, L Lin, X Wu, S Ding, L Zhang

2015

LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data 
K Li, J Gao, S Guo, N Du, X Li, A Zhang

2015

A comparative evaluation of supervised and unsupervised representation learning approaches for anaplastic medulloblastoma differentiation 
A Cruz

2015

SentimentSpecific Representation Learning for DocumentLevel Sentiment Analysis 
D Tang

2015

Face Detection using Representation Learning 
S Zhan, QQ Tao, XH Li

2015

Imaging and representation learning of solar radio spectrums for classification 
Z Chen, L Ma, L Xu, C Tan, Y Yan

2015

Unsupervised domain adaptation via representation learning and adaptive classifier learning 
M Gheisari, MS Baghshah

2015

Deep Ranking for Person Reidentification via Joint Representation Learning 
SZ Chen, CC Guo, JH Lai

2015

Representation Learning 
AG POLAT

2015

On Invariance and Selectivity in Representation Learning 
F Anselmi, L Rosasco, T Poggio

2015

DISC: Deep Image Saliency Computing via Progressive Representation Learning 
T Chen, L Lin, L Liu, X Luo, X Li

2015

On Deep Representation Learning from Noisy Web Images 
PD Vo, A Ginsca, HL Borgne, A Popescu

2015

Data driven visual tracking via representation learning and online multiclass LPBoost learning 
X Yang, S Wang

2015

Improving Deep Representation Learning with Complex and Multimodal Data 
K Sohn

2014

Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning 
J Hoffman, D Pathak, T Darrell, K Saenko

2014

Deep Representation Learning with Target Coding Supplementary Material 
S Yang, P Luo, CC Loy, KW Shum, X Tang

2014

Deep Representation Learning with Target Coding 
S Yang, P Luo, CC Loy, KW Shum, X Tang

2014

A Tibetan Component Representation Learning Method for Online Handwritten Tibetan Character Recognition 
LL Ma, J Wu

2014

Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images 
J Liu, M Gong, J Zhao, H Li, L Jiao

2014

Stochastic Descent Analysis of Representation Learning Algorithms 
RM Golden

2014

Feature Representation Learning in Deep Neural Networks 
D Yu, L Deng
