
DeepPPI
 Referenced in 4 articles
[sw30745]
 recent machine learning advancedeep neural networks (DNNs). We aim at improving the performance ... propose a method called DeepPPI (Deep neural networks for ProteinProtein Interactions prediction), which employs...

NATTACK
 Referenced in 1 article
[sw32886]
 understanding how to construct robust deep neural networks (DNNs) and for thoroughly testing defense techniques...

RxCaffe
 Referenced in 1 article
[sw25898]
 Neural Networks on Resistive Crossbars. Deep Neural Networks (DNNs) are widely used to perform machine...

dMath
 Referenced in 1 article
[sw17846]
 development of scalable applications like deep neural networks (DNNs). Persistent data stored in GPU memory...

PaRoT
 Referenced in 1 article
[sw31366]
 Robust Deep NeuralNetwork Training. Deep Neural Networks (DNNs) are finding important applications in safetycritical...

DarkneTZ
 Referenced in 1 article
[sw32543]
 limit the attack surface against Deep Neural Networks (DNNs). Increasingly, edge devices (smartphones and consumer...

GXNORNet
 Referenced in 1 article
[sw32923]
 unified discretization framework. Although deep neural networks (DNNs) are being a revolutionary power to open...

NeST
 Referenced in 1 article
[sw31716]
 growandprune paradigm. Deep neural networks (DNNs) have begun to have a pervasive impact...

NNV
 Referenced in 1 article
[sw32539]
 based verification framework for deep neural networks (DNNs) and learningenabled cyberphysical systems ... robustness properties of feedforward neural networks (FFNNs) with various activation functions. For learningenabled ... closedloop control systems incorporating neural networks, NNV provides exact and overapproximate reachability analysis ... functions, such as ReLUs. For similar neural network control systems (NNCS) that instead have nonlinear...

daBNN
 Referenced in 1 article
[sw31494]
 arithmetic operations in floatvalued Deep Neural Networks (DNNs) with bitwise operations. Nevertheless, there...

DANN
 Referenced in 1 article
[sw31340]
 CADD to train a deep neural network (DNN). DNNs can capture nonlinear relationships among ... Device Architecturecompatible graphics processing units and deep learning techniques such as dropout and momentum...

Boda
 Referenced in 0 articles
[sw17847]
 Learning Applications. In recent years, deep neural networks (DNNs), have yielded strong results...

CNTK
 Referenced in 10 articles
[sw21056]
 cntk.ai), is a unified deeplearning toolkit that describes neural networks as a series ... graph, leaf nodes represent input values or network parameters, while other nodes represent matrix operations ... popular model types such as feedforward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs...

SqueezeNet
 Referenced in 8 articles
[sw30749]
 model size. Recent research on deep neural networks has focused primarily on improving accuracy ... offer at least three advantages: (1) Smaller DNNs require less communication across servers during distributed...

OpenSALICON
 Referenced in 2 articles
[sw25869]
 with an architecture based on Deep Neural Network (DNN). It leverages the representational power ... highlevel semantics encoded in DNNs pretrained for object recognition. Two key components are fine...

SinReQ
 Referenced in 1 article
[sw36242]
 Deep Quantized Training. Deep quantization of neural networks (below eight bits) offers significant promise ... without special techniques for training and optimization, deep quantization results in significant accuracy loss ... novel sinusoidal regularization, called SinReQ1, for deep quantized training. SinReQ adds a periodic term ... ResNet20, SVHN, and VGG11 DNNs with three to five bits for quantization...

Matlab
 Referenced in 12074 articles
[sw00558]
 MATLAB® is a highlevel language and interactive...

LMI toolbox
 Referenced in 1419 articles
[sw06383]
 Linear Matrix Inequalities (LMIs) and LMI techniques have...

TensorFlow
 Referenced in 284 articles
[sw15170]
 TensorFlow™ is an open source software library for...

CIFAR
 Referenced in 71 articles
[sw17861]
 The CIFAR10 and CIFAR100 are labeled...