Robustness of Deep Learning Architectures with Respect to Training Data Variation
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018. Ed.: F. Hoffmann, 129 - 138, KIT Scientific Publishing, Karlsruhe
- Event
-
Veröffentlichung
- (where)
-
Karlsruhe
- (who)
-
KIT Scientific Publishing
- (when)
-
2018
- Creator
-
Bartschat, Andreas
Unger, Tim
Scherr, Tim
Stegmaier, Johannes
Mikut, Ralf
Reischl, Markus
- DOI
-
10.5445/IR/1000087724
- URN
-
urn:nbn:de:swb:90-877249
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:57 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Bartschat, Andreas
- Unger, Tim
- Scherr, Tim
- Stegmaier, Johannes
- Mikut, Ralf
- Reischl, Markus
- KIT Scientific Publishing
Time of origin
- 2018
Other Objects (12)
Explainability and robustness of deep visual classification models
"Macht der Gewohnheit" "Variation" "Unüberwindlicher Respect"
On the Robustness of the Balance Statistics with respect to Nonresponse
Understanding Local Robustness of Deep Neural Networks under Natural Variations
Understanding and improving robustness and uncertainty estimation in deep learning
Evolving deep neural networks: optimization of weights and architectures
Deep Learning Architectures for Amortized Bayesian Inference in Cognitive Modeling
Energy efficient hardware architectures for memory prohibitive deep neural networks
Deep affect prediction in-the-wild: aff-wild database and challenge, deep architectures, and beyond
Robustness and variation of low-dimensional signal transmission in topological phases
Security in Mobile Peer-to-Peer Architectures – Introducing Mechanisms to Increase the Robustness of Overlay Routing Algorithms of Mobile Peer-to-Peer Architectures
Security in mobile peer-to-peer architectures : introducing mechansims to increase the robustness of overlay routing algorithms of mobile peer-to-peer architectures
Explainability and robustness of deep visual classification models
"Macht der Gewohnheit" "Variation" "Unüberwindlicher Respect"
On the Robustness of the Balance Statistics with respect to Nonresponse
Understanding Local Robustness of Deep Neural Networks under Natural Variations
Understanding and improving robustness and uncertainty estimation in deep learning
Evolving deep neural networks: optimization of weights and architectures
Deep Learning Architectures for Amortized Bayesian Inference in Cognitive Modeling
Energy efficient hardware architectures for memory prohibitive deep neural networks
Deep affect prediction in-the-wild: aff-wild database and challenge, deep architectures, and beyond
Robustness and variation of low-dimensional signal transmission in topological phases
Security in Mobile Peer-to-Peer Architectures – Introducing Mechanisms to Increase the Robustness of Overlay Routing Algorithms of Mobile Peer-to-Peer Architectures
Security in mobile peer-to-peer architectures : introducing mechansims to increase the robustness of overlay routing algorithms of mobile peer-to-peer architectures
Explainability and robustness of deep visual classification models
"Macht der Gewohnheit" "Variation" "Unüberwindlicher Respect"
On the Robustness of the Balance Statistics with respect to Nonresponse
Understanding Local Robustness of Deep Neural Networks under Natural Variations
Understanding and improving robustness and uncertainty estimation in deep learning
Evolving deep neural networks: optimization of weights and architectures
Deep Learning Architectures for Amortized Bayesian Inference in Cognitive Modeling
Energy efficient hardware architectures for memory prohibitive deep neural networks
Deep affect prediction in-the-wild: aff-wild database and challenge, deep architectures, and beyond
Robustness and variation of low-dimensional signal transmission in topological phases
Security in Mobile Peer-to-Peer Architectures – Introducing Mechanisms to Increase the Robustness of Overlay Routing Algorithms of Mobile Peer-to-Peer Architectures