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Weight and Gradient Centralization in Deep Neural Networks
v1v2v3 (latest)

Weight and Gradient Centralization in Deep Neural Networks

International Conference on Artificial Neural Networks (ICANN), 2020
2 October 2020
Wolfgang Fuhl
Enkelejda Kasneci
    ODL
ArXiv (abs)PDFHTML

Papers citing "Weight and Gradient Centralization in Deep Neural Networks"

11 / 11 papers shown
Title
ESNERA: Empirical and semantic named entity alignment for named entity dataset merging
ESNERA: Empirical and semantic named entity alignment for named entity dataset merging
Xiaobo Zhang
Congqing He
Ying He
Jian Peng
Dajie Fu
Tien-Ping Tan
52
0
0
09 Aug 2025
Improving the Accuracy and Interpretability of Neural Networks for Wind
  Power Forecasting
Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting
Wenlong Liao
F. Porté-Agel
Jiannong Fang
Birgitte Bak-Jensen
Zhe Yang
Gonghao Zhang
AI4CE
68
1
0
25 Dec 2023
Technical Report: Combining knowledge from Transfer Learning during
  training and Wide Resnets
Technical Report: Combining knowledge from Transfer Learning during training and Wide Resnets
Wolfgang Fuhl
111
0
0
20 Jun 2022
HPCGen: Hierarchical K-Means Clustering and Level Based Principal
  Components for Scan Path Genaration
HPCGen: Hierarchical K-Means Clustering and Level Based Principal Components for Scan Path GenarationEye Tracking Research & Application (ETRA), 2022
Wolfgang Fuhl
97
6
0
19 Jan 2022
GroupGazer: A Tool to Compute the Gaze per Participant in Groups with
  integrated Calibration to Map the Gaze Online to a Screen or Beamer
  Projection
GroupGazer: A Tool to Compute the Gaze per Participant in Groups with integrated Calibration to Map the Gaze Online to a Screen or Beamer ProjectionVISIGRAPP (VISIGRAPP), 2022
Wolfgang Fuhl
Daniel Weber
Shahram Eivazi
113
2
0
19 Jan 2022
Tensor Normalization and Full Distribution Training
Tensor Normalization and Full Distribution Training
Wolfgang Fuhl
OOD
170
5
0
06 Sep 2021
Maximum and Leaky Maximum Propagation
Maximum and Leaky Maximum PropagationIEEE International Joint Conference on Neural Network (IJCNN), 2021
Wolfgang Fuhl
129
6
0
21 May 2021
1000 Pupil Segmentations in a Second using Haar Like Features and
  Statistical Learning
1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning
Wolfgang Fuhl
EgoV
110
19
0
03 Feb 2021
TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types
TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement TypesInternational Symposium on Mixed and Augmented Reality (ISMAR), 2021
Wolfgang Fuhl
Gjergji Kasneci
Enkelejda Kasneci
162
71
0
03 Feb 2021
A Multimodal Eye Movement Dataset and a Multimodal Eye Movement
  Segmentation Analysis
A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis
Wolfgang Fuhl
Enkelejda Kasneci
3DPC
118
20
0
12 Jan 2021
The Gaze and Mouse Signal as additional Source for User Fingerprints in
  Browser Applications
The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser ApplicationsVISIGRAPP (VISIGRAPP), 2021
Wolfgang Fuhl
Nikolai Sanamrad
Enkelejda Kasneci
145
20
0
11 Jan 2021
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