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Densely connected neural networks for nonlinear regression

Densely connected neural networks for nonlinear regression

29 July 2021
Chao Jiang
Canchen Jiang
Dongwei Chen
Fei Hu
    PINN
ArXivPDFHTML

Papers citing "Densely connected neural networks for nonlinear regression"

8 / 8 papers shown
Title
Real-time Intent Prediction of Pedestrians for Autonomous Ground
  Vehicles via Spatio-Temporal DenseNet
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet
Khaled Saleh
M. Hossny
S. Nahavandi
38
65
0
22 Apr 2019
On the Convergence of Adam and Beyond
On the Convergence of Adam and Beyond
Sashank J. Reddi
Satyen Kale
Surinder Kumar
87
2,498
0
19 Apr 2019
Crop Yield Prediction Using Deep Neural Networks
Crop Yield Prediction Using Deep Neural Networks
S. Khaki
Lizhi Wang
45
544
0
07 Feb 2019
A Comprehensive Analysis of Deep Regression
A Comprehensive Analysis of Deep Regression
Stéphane Lathuilière
Pablo Mesejo
Xavier Alameda-Pineda
Radu Horaud
BDL
63
296
0
22 Mar 2018
Approximating Continuous Functions by ReLU Nets of Minimal Width
Approximating Continuous Functions by ReLU Nets of Minimal Width
Boris Hanin
Mark Sellke
105
234
0
31 Oct 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
731
36,781
0
25 Aug 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
439
43,277
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
150,006
0
22 Dec 2014
1