Year  Title  Author 
2017

Neurostream: Scalable and Energy Efficient Deep Learning with Smart Memory Cubes 
E Azarkhish, D Rossi, I Loi, L Benini

2017

DeepSecure: Scalable ProvablySecure Deep Learning 
BD Rouhani, MS Riazi, F Koushanfar

2017

CSBoW: a scalable parallel image recognition method 
Y Liu

2017

Globally scalable generation of highresolution land cover from multispectral imagery 
SC Stutts, BL Raskob, EJ Wenger

2017

Supervised Deep Hashing for Scalable Face Image Retrieval 
J Tang, Z Li, X Zhu

2017

ScaleDeep: A Scalable Compute Architecture for Learning and Evaluating Deep Networks 
S Venkataramani, A Ranjan, S Banerjee, D Das

2017

Efficient and Scalable MultiSource Streaming Broadcast on GPU Clusters for Deep Learning 
CH Chu, X Lu, AA Awan, H Subramoni, J Hashmi

2017

Scalable stochasticcomputing accelerator for convolutional neural networks 
H Sim, D Nguyen, J Lee, K Choi

2017

14.4 A scalable speech recognizer with deepneuralnetwork acoustic models and voiceactivated power gating 
M Price, J Glass, AP Chandrakasan

2017

Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction 
M Fouladgar, M Parchami, R Elmasri, A Ghaderi

2017

Scalable Model Selection for Belief Networks 
Z Song, Y Muraoka, R Fujimaki, L Carin

2017

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

2017

Experiments With Scalable Gradientbased Hyperparameter Optimization for Deep Neural Networks 
MS Jules

2017

Scalable and Unsupervised Feature Engineering Using VibrationImaging and Deep Learning for Rotor System Diagnosis 
H Oh, JH Jung, BC Jeon, BD Youn

2017

Scalable Track Detection in SAR CCD Images 
TT Quach, JG Chow

2017

A scalable deep learning platform for identifying geologic features from seismic attributes 
L Huang, X Dong, TE Clee

2017

Towards Scalable GradientBased Hyperparameter Optimization In Deep Neural Networks 
FU JIE

2017

SCaffe: Codesigning MPI Runtimes and Caffe for Scalable Deep Learning on Modern GPU Clusters 
AA Awan, K Hamidouche, JM Hashmi, DK Panda

2017

Efficient and Scalable View Generation from a Single Image using Fully Convolutional Networks 
SH Bae, M Elgharib, M Hefeeda, W Matusik

2017

Weaklysupervised Multimodal Hashing for Scalable Social Image Retrieval 
J Tang, Z Li

2017

Decoderside HEVC quality enhancement with scalable convolutional neural network 
R Yang, M Xu, Z Wang

2016

Curbing the roofline: a scalable and flexible architecture for CNNs on FPGA 
P Meloni, G Deriu, F Conti, I Loi, L Raffo, L Benini

2016

Compact Discrete Representations for Scalable Similarity Search 
M Norouzi

2016

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

2016

DLAU: A Scalable Deep Learning Accelerator Unit on FPGA 
C Wang, Q Yu, L Gong, X Li, Y Xie, X Zhou

2016

Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network 
F Piekniewski, P Laurent, C Petre, M Richert, D Fisher

2016

GeePS: Scalable deep learning on distributed GPUs with a GPUspecialized parameter server 
H Cui, H Zhang, GR Ganger, PB Gibbons, EP Xing

2016

Scalable and Sustainable Deep Learning via Randomized Hashing 
R Spring, A Shrivastava

2016

The double link between network science and artificial intelligence. A key to scalable learning solutions? 
DC Mocanu, G Exarchakos, A Liotta

2016

Scalable algorithms for semiautomatic segmentation of electron microscopy images of the brain tissue 
A Zlateski

2016

Training Neural Networks Without Gradients: A Scalable ADMM Approach 
G Taylor, R Burmeister, Z Xu, B Singh, A Patel

2016

Scalable Machine Learning and Related Technologies 
K Ramasubramanian, A Singh

2016

The Role of CNL and AMR in Scalable Abstractive Summarization for Multilingual Media Monitoring 
N Gruzitis, G Barzdins

2016

An EnergyEfficient and Scalable Deep Learning/Inference Processor With TetraParallel MIMD Architecture for Big Data Applications. 
SW Park, J Park, K Bong, D Shin, J Lee, S Choi

2016

Scalable machine‐learning algorithms for big data analytics: a comprehensive review 
P Gupta, A Sharma, R Jindal

2016

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles 
B Lakshminarayanan, A Pritzel, C Blundell

2016

Watch This: Scalable CostFunction Learning for Path Planning in Urban Environments 
M Wulfmeier, DZ Wang, I Posner

2016

Highly Efficient Regression for Scalable Person ReIdentification 
H Wang, S Gong, T Xiang

2016

Truenorth ecosystem for braininspired computing: scalable systems, software, and applications 
J Sawada, F Akopyan, AS Cassidy, B Taba, MV Debole

2015

A scalable architecture for multiclass visual object detection 
S Advani, Y Tanabe, K Irick, J Sampson, V Narayanan

2015

Scalable OutofSample Extension of Graph Embeddings Using Deep Neural Networks 
A Jansen, G Sell, V Lyzinski

2015

Scalable Deep Poisson Factor Analysis for Topic Modeling 
Z Gan, D EDU, C Chen, R Henao, D Carlson

2015

ZNNA Fast and Scalable Algorithm for Training 3D Convolutional Networks on MultiCore and ManyCore Shared Memory Machines 
A Zlateski, K Lee, HS Seung

2015

Automatically Scalable Computation 
M Seltzer

2015

Scalable MultiNeighborhood Learning For Convolutional Networks 
E Barshan, P Fieguth, A Wong

2015

A highly scalable modular bottleneck neural network for image dimensionality reduction and image transformation 
M Carcenac, S Redif

2015

Scalable Bayesian Optimization Using Deep Neural Networks 
J Snoek, O Rippel, K Swersky, R Kiros, N Satish

2015

The Impact of Structured Event Embeddings on Scalable Stock Forecasting Models 
JB Nascimento, M Cristo

2015

A scalable spatiotemporal inference framework based on statistical shape analysis for natural ecosystem monitoring by remote sensing 
X Liu, A Sharma, X Yang, N Nye

2015

Scalable user intent mining using a multimodal Restricted Boltzmann Machine 
Y Shang, W Ding, M Liu, X Song, T Hu, Y An, H Wang

2015

Scalable Multimedia Retrieval by Deep Learning Hashing with Relative Similarity Learning 
L Gao, J Song, F Zou, D Zhang, J Shao

2015

Scalable Hardware Efficient Deep SpatioTemporal Inference Networks 
SR Young

2015

BUAAiCC at ImageCLEF 2015 Scalable Concept Image Annotation Challenge 
Y Wang, J Chen, N Liu, L Zhang

2015

Parallel and Scalable Methods for Scientific Big Data Analytics 
IM Riedel

2015

4.6 A1. 93TOPS/W scalable deep learning/inference processor with tetraparallel MIMD architecture for bigdata applications 
S Park, K Bong, D Shin, J Lee, S Choi, HJ Yoo

2015

Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning 
G Wu, MJ Kim, Q Wang, B Munsell, D Shen

2015

Scalable High Performance Image Registration Framework by Unsupervised Deep Feature Representations Learning. 
G Wu, MJ Kim, Q Wang, B Munsell, D Shen

2015

A scalable and adaptable probabilistic model embedded in an electronic nose for intelligent sensor fusion 
CT Tang, CM Huang, KT Tang, H Chen

2014

MindLab at ImageCLEF 2014: Scalable Concept Image Annotation 
JA Vanegas, J Arevalo, S Otálora, F Páez

2014

Minerva: A Scalable and Highly Efficient Training Platform for Deep Learning 
M Wang, T Xiao, J Li, J Zhang, C Hong, Z Zhang

2014

Project Adam: Building an Efficient and Scalable Deep Learning Training System 
T Chilimbi, Y Suzue, J Apacible, K Kalyanaraman

2014

MLIA at ImageCLFE 2014 Scalable Concept Image Annotation Challenge 
X Xu, A Shimada, R Taniguchi

2014

Scalable Learning for Restricted Boltzmann Machines 
E Barshan, P Fieguth
