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1804.02253
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A comparison of deep networks with ReLU activation function and linear spline-type methods
6 April 2018
Konstantin Eckle
Johannes Schmidt-Hieber
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Papers citing
"A comparison of deep networks with ReLU activation function and linear spline-type methods"
16 / 16 papers shown
Title
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks
Simone Appella
S. Arridge
Chris Budd
Teo Deveney
L. Kreusser
38
0
0
02 Jul 2024
TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
Jie Wang
Zheng Yan
Jiahe Lan
Elisa Bertino
Witold Pedrycz
28
11
0
23 Jun 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks
Ferheen Ayaz
Idris Zakariyya
José Cano
S. Keoh
Jeremy Singer
D. Pau
Mounia Kharbouche-Harrari
19
5
0
25 Apr 2023
Precision Machine Learning
Eric J. Michaud
Ziming Liu
Max Tegmark
24
34
0
24 Oct 2022
GCT: Gated Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou
Yun Wang
Wenwu Wang
Dick Botteldooren
33
0
0
22 Oct 2022
Analysis of the rate of convergence of an over-parametrized deep neural network estimate learned by gradient descent
Michael Kohler
A. Krzyżak
32
10
0
04 Oct 2022
Fingerprinting Robot Movements via Acoustic Side Channel
Ryan Shah
Mujeeb Ahmed
Shishir Nagaraja
13
2
0
21 Sep 2022
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition
Guangke Chen
Zhe Zhao
Fu Song
Sen Chen
Lingling Fan
Feng Wang
Jiashui Wang
AAML
25
37
0
07 Jun 2022
CT-SAT: Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou
Zhaoyi Liu
Bo Kang
Yun Wang
Dick Botteldooren
ViT
32
5
0
22 Mar 2022
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
S. Dubey
S. Singh
B. B. Chaudhuri
41
643
0
29 Sep 2021
SEC4SR: A Security Analysis Platform for Speaker Recognition
Guangke Chen
Zhe Zhao
Fu Song
Sen Chen
Lingling Fan
Yang Liu
AAML
25
12
0
04 Sep 2021
The Kolmogorov-Arnold representation theorem revisited
Johannes Schmidt-Hieber
30
125
0
31 Jul 2020
A survey on modern trainable activation functions
Andrea Apicella
Francesco Donnarumma
Francesco Isgrò
R. Prevete
36
366
0
02 May 2020
Optimal Nonparametric Inference via Deep Neural Network
Ruiqi Liu
B. Boukai
Zuofeng Shang
23
18
0
05 Feb 2019
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring
Mohendra Roy
S. Bose
B. Kar
P. K. Gopalakrishnan
A. Basu
14
30
0
19 Oct 2018
Benefits of depth in neural networks
Matus Telgarsky
153
603
0
14 Feb 2016
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