Year  Title  Author 
2017

Learning and Inference in Latent Variable Graphical Models DISSERTATION 
W Ping

2017

Deep Unsupervised Learning with Consistent Inference of Latent Representations 
J Chang, L Wang, G Meng, S Xiang, C Pan

2017

Latent feature learning for activity recognition using simple sensors in smart homes 
G Chen, A Wang, S Zhao, L Liu, CY Chang

2017

Latent Attention Networks 
C Grimm, D Arumugam, S Karamcheti, D Abel

2017

Deep Latent Dirichlet Allocation with TopicLayerAdaptive Stochastic Gradient Riemannian MCMC 
Y Cong, B Chen, H Liu, M Zhou

2017

Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling 
M Wong, B Farooq, GA Bilodeau

2017

Deep convolutional neural network for latent fingerprint enhancement 
J Li, J Feng, CCJ Kuo

2017

Statistical Latent Space Approach for Mixed Data Modelling and Applications 
TD Nguyen, T Tran, D Phung, S Venkatesh

2017

Learnable Explicit Density for Continuous Latent Space and Variational Inference 
CW Huang, A Touati, L Dinh, M Drozdzal, M Havaei

2017

Relational Deep Learning: A Deep Latent Variable Model for Link Prediction 
H Wang, X Shi, DY Yeung

2017

Text Generation Based on Generative Adversarial Nets with Latent Variable 
H Wang, Z Qin, T Wan

2017

Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models 
J Engel, M Hoffman, A Roberts

2017

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks 
C Donahue, A Balsubramani, J McAuley, ZC Lipton

2017

Crossing Nets: Dual Generative Models with a Shared Latent Space for Hand Pose Estimation 
C Wan, T Probst, L Van Gool, A Yao

2017

Learning deep contextaware features over body and latent parts for person reidentification 
D Li, X Chen, Z Zhang, K Huang

2017

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

2017

Optimizing the Latent Space of Generative Networks 
P Bojanowski, A Joulin, D Lopez

2017

Variational Inference of Disentangled Latent Concepts from Unlabeled Observations 
A Kumar, P Sattigeri, A Balakrishnan

2017

Automated Latent Fingerprint Recognition 
K Cao, AK Jain

2017

Autoencoder with Adversarially Regularized Latent Variables for SemiSupervised Learning 
R Tachibana, T Matsubara, K Uehara

2016

Knowledge Transfer Using Latent Variable Models 
S Shakkottai, S Sanghavi

2016

Efficient Inference, Search and Evaluation for Latent Variable Models of Text with Applications to Information Retrieval and Machine Translation 
K Krstovski

2016

Latent Tree Analysis 
NL Zhang, LKM Poon

2016

Visual Representations and Models: From Latent SVM to Deep Learning 
H Azizpour

2016

A Latent Growth Curve Analysis of Learning Strategy and Efficiency 
CT Wu, SM Chung

2016

Feature extraction using Latent Dirichlet Allocation and Neural Networks: A case study on movie synopses 
D Christou

2016

LSI: Latent Semantic Inference for Natural Image Segmentation 
L Dong, N Feng, Q Zhang

2016

Latent Sequence Decompositions 
W Chan, Y Zhang, Q Le, N Jaitly

2016

Convex TwoLayer Modeling with Latent Structure 
V Ganapathiraman, X Zhang, Y Yu, J Wen

2016

LDADeep+: Latent Aspect Discovery with Deep Representations 
CE Tsai, HL Hsieh, W Hsu

2016

Initializing Deep Learning Based on Latent Dirichlet Allocation for Document Classification 
HB Jeon, SY Lee

2016

Gamma Belief Networks (Deep Latent Dirichlet Allocation) 
M Zhou

2016

Deep PartBased Generative Shape Model with Latent Variables 
A Kirillov, M Gavrikov, E Lobacheva, A Osokin

2016

Learning Generative ConvNet with Continuous Latent Factors by Alternating BackPropagation 
T Han, Y Lu, SC Zhu, YN Wu

2016

Latent Structure Preserving Hashing 
L Liu, M Yu, L Shao

2016

A Latent Variable Recurrent Neural Network for Discourse Relation Language Models 
Y Ji, G Haffari, J Eisenstein

2016

Towards Latent ContextAware Recommendation Systems 
M Unger, A Bar, B Shapira, L Rokach

2016

Xray InDepth Decomposition: Can Deep Learning Reveal The Latent Structures? 
S Albarqouni, J Fotouhi, N Navab

2016

Method For Inferring Latent User Interests Based On Image Metadata 
M Sabah, MI Sadreddin, S Abdullah

2016

Latent Factor Representations for ColdStart Video Recommendation 
S Roy, SC Guntuku

2016

Recurrent Coevolutionary Latent Feature Processes for ContinuousTime Recommendation 
H Dai, Y Wang, R Trivedi, L Song

2016

Latent fingerprint minutia extraction using fully convolutional network 
Y Tang, F Gao, J Feng

2015

DeepMPC: Learning Deep Latent Features for Model Predictive Control 
I Lenz, R Knepper, A Saxena

2015

Exploring Latent Structure in Data: Algorithms and Implementations 
PS Sattigeri

2015

Endtoend Learning of Latent Dirichlet Allocation by MirrorDescent Back Propagation 
J Chen, J He, Y Shen, L Xiao, X He, J Gao, X Song

2015

Latent subclass learningbased unsupervised ensemble feature extraction method for hyperspectral image classification 
W Wei, Y Zhang, C Tian

2015

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

2015

Latent Maxmargin Metric Learning for Comparing Video Face Tubes 
G Sharma, P Pérez

2015

Learning Ensembles of Potential Functions for Structured Prediction with Latent Variables 
H Hajimirsadeghi, G Mori

2015

Unsupervised Latent Aspect Discovery for Diverse Event Summarization 
WY Lee, YH Kuo, PJ Hsieh, WF Cheng, TH Chao

2015

Latent Regression Bayesian Network for Data Representation 
S Nie, Q Ji

2015

An Online Inference Algorithm for Labeled Latent Dirichlet Allocation 
Q Zhou, H Huang, XL Mao

2015

Latent ContextAware Recommender Systems 
M Unger

2015

Learning Overcomplete Latent Variable Models through Tensor Methods 
A Anandkumar, R Ge, M Janzamin

2015

Latent Keyphrase Extraction Using Deep Belief Networks 
J Taemin

2015

MultiObject Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models 
T Nimmagadda, A Anandkumar

2015

Latent Dirichlet Allocation Based Organisation of Broadcast Media Archives for Deep Neural Network Adaptation 
M Doulaty, O Saz, RWM Ng, T Hain

2015

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

2015

Learning Latent Temporal Manifolds for Recognition and Prediction of Multiple Actions in Streaming Videos using Deep Networks 
BM Nair
