Deep Learning Publication Navigator - subtopic: scalable

Year TitleAuthor
2017   Neurostream: Scalable and Energy Efficient Deep Learning with Smart Memory Cubes  E Azarkhish, D Rossi, I Loi, L Benini
2017   DeepSecure: Scalable Provably-Secure Deep Learning  BD Rouhani, MS Riazi, F Koushanfar
2017   CS-BoW: a scalable parallel image recognition method  Y Liu
2017   Globally scalable generation of high-resolution 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 Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning  CH Chu, X Lu, AA Awan, H Subramoni, J Hashmi
2017   Scalable stochastic-computing accelerator for convolutional neural networks  H Sim, D Nguyen, J Lee, K Choi
2017   14.4 A scalable speech recognizer with deep-neural-network acoustic models and voice-activated 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 Graph-based Activity Regularization for semi-supervised learning  O Kilinc, I Uysal
2017   Experiments With Scalable Gradient-based Hyperparameter Optimization for Deep Neural Networks  MS Jules
2017   Scalable and Unsupervised Feature Engineering Using Vibration-Imaging 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 Gradient-Based Hyperparameter Optimization In Deep Neural Networks  FU JIE
2017   S-Caffe: Co-designing 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   Weakly-supervised Multimodal Hashing for Scalable Social Image Retrieval  J Tang, Z Li
2017   Decoder-side 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 GPU-specialized 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 semi-automatic 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 Energy-Efficient and Scalable Deep Learning/Inference Processor With Tetra-Parallel 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 Cost-Function Learning for Path Planning in Urban Environments  M Wulfmeier, DZ Wang, I Posner
2016   Highly Efficient Regression for Scalable Person Re-Identification  H Wang, S Gong, T Xiang
2016   Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications  J Sawada, F Akopyan, AS Cassidy, B Taba, MV Debole
2015   A scalable architecture for multi-class visual object detection  S Advani, Y Tanabe, K Irick, J Sampson, V Narayanan
2015   Scalable Out-of-Sample 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   ZNN-A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-Core and Many-Core Shared Memory Machines  A Zlateski, K Lee, HS Seung
2015   Automatically Scalable Computation  M Seltzer
2015   Scalable Multi-Neighborhood 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 Spatio-Temporal Inference Networks  SR Young
2015   BUAA-iCC 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 tetra-parallel MIMD architecture for big-data 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