Year  Title  Author 
2017

Parallel Multiscale Autoregressive Density Estimation 
S Reed, A Oord, N Kalchbrenner, SG Colmenarejo

2017

Autoregressive Attention for Parallel Sequence Modeling 
D Laird, J Irvin

2017

DPCN: Parallel Convolutional Neural Networks for Image Recognition in Reverse Adversarial Style 
S Yang, G Peng

2017

Static Hand Gesture Recognition with Parallel CNNs for Space HumanRobot Interaction 
Q Gao, J Liu, Z Ju, Y Li, T Zhang, L Zhang

2017

Bucc 2017 shared task: a first attempt toward a deep learning framework for identifying parallel sentences in comparable corpora 
F Grégoire, P Langlais

2017

CSBoW: a scalable parallel image recognition method 
Y Liu

2017

Deep artifact learning for compressed sensing and parallel MRI 
D Lee, J Yoo, JC Ye

2017

Parallel Implementation of a Bug Report Assignment Recommender Using Deep Learning 
AC Florea, J Anvik, R Andonie

2017

Parallel Deep Solutions for Image Retrieval from Imbalanced Medical Imaging Archives 
A Khatami, M Babaie, A Khosravi, HR Tizhoosh

2017

DropCircuit: A Modular Regularizer for Parallel Circuit Networks 
KT Phan, TH Maul, TT Vu, WK Lai

2017

Parallel learning: a perspective and a framework 
L Li, Y Lin, N Zheng, FY Wang

2017

Exploration Of Deep Learning Algorithms Using Openacc Parallel Programming Model 
AA Hamam, AH Khan

2017

Parallel Multi Channel Convolution using General Matrix Multiplication 
A Vasudevan, A Anderson, D Gregg

2017

Adaptive Parallel Elm With Convolutional Features For Big Stream Data 
A BUDIMAN

2017

Parallel Implementation of the Givens Rotations in the Neural Network Learning Algorithm 
J Bilski, B Kowalczyk, JM Żurada

2017

Parallel Computing for Machine Learning in Social Network Analysis 
G Cybenko

2017

Parallel Multiclass Support Vector Machine for Remote Sensing Data Classification on Multicore and ManyCore Architectures 
W Li, H Fu, Y You, L Yu, J Fang

2017

Parallel Imaging: A Unified Theoretical Framework for Image Generation 
K WANG, Y LU, Y WANG, FY WANG

2017

Efficient Parallel Methods for Deep Reinforcement Learning 
AV Clemente, HN Castejón, A Chandra

2016

FPGA Implementation of a Scalable and Highly Parallel Architecture for Restricted Boltzmann Machines 
K Ueyoshi, T Marukame, T Asai, M Motomura

2016

GPUenabled backpropagation artificial neural network for digit recognition in parallel 
R Brito, S Fong, K Cho, W Song, R Wong

2016

CNNLab: a Novel Parallel Framework for Neural Networks using GPU and FPGAa Practical Study with Tradeoff Analysis 
M Zhu, L Liu, C Wang, Y Xie

2016

Parallel multilayer perceptron neural network used for hyperspectral image classification 
BP Garcia

2016

Parallel pattern classification utilizing GPUbased kernelized Slackmin algorithm 
GA Papakostas, KI Diamantaras, T Papadimitriou

2016

Towards implementation of residualfeedback GMDH neural network on parallel GPU memory guided by a regression curve 
R Brito, S Fong, K Cho, W Song, R Wong

2016

Apache Hama: An Emerging Bulk Synchronous Parallel Computing Framework for Big Data Applications 
K Siddique, Z Akhtar, E Yoon, YS Jeong, D Dasgupta

2015

Advanced Parallel Processing Technologies: 11th International Symposium, APPT 2015, Jinan, China, August 2021, 2015, Proceedings 
Y Chen, P Ienne, Q Ji

2015

PRELM: Parallel Regularized Extreme Learning Machine based on Cluster 
Y Wang, Y Dou, X Liu, Y Lei

2015

Parallel Recursive Deep Model for Sentiment Analysis 
G Tian, Y Zhou

2015

SMPFRAME: A Distributed Framework for Scheduled Model Parallel Machine Learning 
JK Kim, Q Ho, S Lee, X Zheng, W Dai, G Gibson, E Xing

2015

Parallel Dither and Dropout for Regularising Deep Neural Networks 
AJR Simpson

2015

Perceptive Parallel Processes Coordinating Geometry and Texture 
MA Gutierrez, RE Banchs, LF D'Haro

2015

Taming the ReLU with Parallel Dither in a Deep Neural Network 
AJR Simpson

2015

Experiments on Parallel Training of Deep Neural Network using Model Averaging 
H Su, H Chen

2015

Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization 
X Lian, Y Huang, Y Li, J Liu

2015

Parallel and Scalable Methods for Scientific Big Data Analytics 
IM Riedel

2015

Instant Learning: Parallel Deep Neural Networks and Convolutional Bootstrapping 
AJR Simpson

2015

The Optimization of Parallel DBN Based on Spark 
J Yang, S He

2015

Parallel MultiDimensional LSTM, With Application to Fast Biomedical Volumetric Image Segmentation 
MF Stollenga, W Byeon, M Liwicki, J Schmidhuber

2015

Massively Parallel Methods for Deep Reinforcement Learning 
A Nair, P Srinivasan, S Blackwell, C Alcicek, R Fearon

2015

Advanced Parallel Processing Technologies 
Y Chen, P Ienne, Q Ji

2014

Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging 
D Povey, X Zhang, S Khudanpur

2014

High performance histogramming on massively parallel processors 
WM Hwu

2014

Parallel batch pattern training algorithm for deep neural network 
V Turchenko, V Golovko

2014

Neurophysicsinspired parallel architecture with resistive crosspoint array for dictionary learning 
D Kadetotad, Z Xu, A Mohanty, PY Chen, B Lin, J Ye

2014

Diverse assessment and active student engagement sustain deep learning: A comparative study of outcomes in two parallel introductory biochemistry courses 
SJ Bevan, CWL Chan, JA Tanner

2014

Parallel deep neural network training for big data on blue gene/Q 
I Chung, TN Sainath, B Ramabhadran, M Picheny
