
PDENet
 Referenced in 63 articles
[sw36963]
 NetworkInNetwork (NIN) and Residual Neural Network (ResNet). Numerical experiments show that...

Inceptionv4
 Referenced in 24 articles
[sw39592]
 Impact of Residual Connections on Learning. Very deep convolutional networks have been central ... There is also some evidence of residual Inception networks outperforming similarly expensive Inception networks without ... architectures for both residual and nonresidual Inception networks. These variations improve the singleframe ... stabilizes the training of very wide residual Inception networks. With an ensemble of three residual...

PREvaIL
 Referenced in 10 articles
[sw25073]
 approach for inferring catalytic residues using sequence, structural, and network features in a machinelearning ... multiple levels, including sequence, structure, and residuecontact network, in a random forest machinelearning ... significantly improve the performance of catalytic residue prediction. We believe that this new method...

DnCNN
 Referenced in 45 articles
[sw39678]
 Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising. Discriminative model learning ... construction of feedforward denoising convolutional neural networks (DnCNNs) to embrace the progress in very ... regularization method into image denoising. Specifically, residual learning and batch normalization are utilized to speed...

lvnet
 Referenced in 4 articles
[sw19428]
 network modeling; LNM) or between residuals (residual network modeling...

CATBox
 Referenced in 4 articles
[sw18663]
 graph, and additional auxiliary graphs like residual networks, are displayed and provide visual feedback...

GNMT
 Referenced in 27 articles
[sw26579]
 LSTM network with 8 encoder and 8 decoder layers using attention and residual connections...

PDNET
 Referenced in 40 articles
[sw04752]
 this algorithm for solving the minimumcost network flow problem. In each iteration, the linear ... inexactly, and the norm of the resulting residual vector is used in the stopping criteria ... large set of standard minimumcost network flow test problems. Computational results indicate that...

MultiPoseNet
 Referenced in 2 articles
[sw39258]
 MultiPerson Pose Estimation using Pose Residual Network. In this paper, we present MultiPoseNet ... method is implemented by the Pose Residual Network (PRN) which receives keypoint and person detections...

REACH
 Referenced in 6 articles
[sw00788]
 force constants of a residuescale elastic network model in singledomain proteins using...

SkipNet
 Referenced in 2 articles
[sw31369]
 visual perception tasks, for many inputs shallower networks are sufficient. We exploit this observation ... basis. We introduce SkipNet, a modified residual network, that uses a gating network to selectively...

FPINNs
 Referenced in 27 articles
[sw40570]
 noisy data. PINNs employ standard feedforward neural networks (NNs) with the PDEs explicitly encoded into ... meansquared PDEresiduals and the meansquared error in initial/boundary conditions is minimized with...

UPSNet
 Referenced in 1 article
[sw39075]
 paper, we propose a unified panoptic segmentation network (UPSNet) for tackling the newly proposed panoptic ... single backbone residual network, we first design a deformable convolution based semantic segmentation head...

TFLearn
 Referenced in 1 article
[sw21054]
 prototyping through highly modular builtin neural network layers, regularizers, optimizers, metrics... Full transparency over ... Convolutions, LSTM, BiRNN, BatchNorm, PReLU, Residual networks, Generative networks... In the future, TFLearn is also...

FetchSGD
 Referenced in 1 article
[sw34099]
 empirical effectiveness by training two residual networks and a transformer model. Subjects...

DeepRT
 Referenced in 1 article
[sw22012]
 deep learning approach, an ensemble of Residual Network (ResNet) and Long ShortTerm Memory (LSTM...

deep_speck
 Referenced in 2 articles
[sw34578]
 present distinguishers based on deep residual neural networks that achieve a mean key rank roughly...

DeepXDE
 Referenced in 38 articles
[sw32456]
 into the loss of the neural network using automatic differentiation. The PINN algorithm is simple ... forward problems. We propose a new residualbased adaptive refinement (RAR) method to improve...

CVDNet
 Referenced in 1 article
[sw41772]
 propose CVDNet, a Deep Convolutional Neural Network (CNN) model to classify COVID19 infection from ... proposed architecture is based on the residual neural network and it is constructed by using...

FoldX
 Referenced in 9 articles
[sw21771]
 possible to print both the atomic interaction networks that constitute the protein, print the structural ... interactions per atom or per residue, as well as generate a general quality report...