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2020 – today
- 2024
[i16]David Peer, Philemon Schöpf, Volckmar Nebendahl, Alexander Rietzler, Sebastian Stabinger:
ANLS* - A Universal Document Processing Metric for Generative Large Language Models. CoRR abs/2402.03848 (2024)- 2022
- [j7]David Peer
, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez:
Greedy-layer pruning: Speeding up transformer models for natural language processing. Pattern Recognit. Lett. 157: 76-82 (2022) - [j6]David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. Trans. Mach. Learn. Res. 2022 (2022) - [c13]Chris Engelhardt, Jakob Mittelberger, David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Improving 3D Point Cloud Reconstruction with Dynamic Tree-Structured Capsules. IPAS 2022: 1-6 - [c12]Andrea Portscher, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluating Attention in Convolutional Neural Networks for Blended Images. IPAS 2022: 1-6 - [i15]David Peer, Bart Keulen, Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization. CoRR abs/2208.01134 (2022) - 2021
- [j5]Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez:
Arguments for the unsuitability of convolutional neural networks for non-local tasks. Neural Networks 142: 171-179 (2021) - [j4]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Limitation of capsule networks. Pattern Recognit. Lett. 144: 68-74 (2021) - [j3]Andreas Ganser, Bernhard Hollaus, Sebastian Stabinger:
Classification of Tennis Shots with a Neural Network Approach. Sensors 21(17): 5703 (2021) - [j2]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
conflicting_bundle.py - A python module to identify problematic layers in deep neural networks. Softw. Impacts 7: 100053 (2021) - [c11]Nora Hofer, Pascal Schöttle, Alexander Rietzler, Sebastian Stabinger:
Adversarial Examples Against a BERT ABSA Model - Fooling Bert With L33T, Misspellign, and Punctuation, . ARES 2021: 33:1-33:6 - [c10]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. WACV 2021: 256-265 - [i14]Sebastian Stabinger, David Peer, Antonio Jose Rodríguez-Sánchez:
Arguments for the Unsuitability of Convolutional Neural Networks for Non-Local Tasks. CoRR abs/2102.11944 (2021) - [i13]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Auto-tuning of Deep Neural Networks by Conflicting Layer Removal. CoRR abs/2103.04331 (2021) - [i12]David Peer, Sebastian Stabinger, Stefan Engl, Antonio Jose Rodríguez-Sánchez:
Greedy Layer Pruning: Decreasing Inference Time of Transformer Models. CoRR abs/2105.14839 (2021) - 2020
- [j1]Bernhard Hollaus, Sebastian Stabinger, Andreas H. Mehrle, Christian Raschner:
Using Wearable Sensors and a Convolutional Neural Network for Catch Detection in American Football. Sensors 20(23): 6722 (2020) - [c9]Alexander Rietzler, Sebastian Stabinger, Paul Opitz, Stefan Engl:
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification. LREC 2020: 4933-4941 - [i11]Sebastian Stabinger, Justus H. Piater, Antonio Jose Rodríguez-Sánchez:
Evaluating the Progress of Deep Learning for Visual Relational Concepts. CoRR abs/2001.10857 (2020) - [i10]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks. CoRR abs/2011.02956 (2020)
2010 – 2019
- 2019
- [c8]Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluating CNNs on the Gestalt Principle of Closure. ICANN (1) 2019: 296-301 - [i9]Gregor Ehrensperger, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluating CNNs on the Gestalt Principle of Closure. CoRR abs/1904.00285 (2019) - [i8]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Limitations of routing-by-agreement based capsule networks. CoRR abs/1905.08744 (2019) - [i7]Alexander Rietzler, Sebastian Stabinger, Paul Opitz, Stefan Engl:
Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification. CoRR abs/1908.11860 (2019) - 2018
- [i6]David Peer, Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Training Deep Capsule Networks. CoRR abs/1812.09707 (2018) - 2017
- [c7]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluation of Deep Learning on an Abstract Image Classification Dataset. ICCV Workshops 2017: 2767-2772 - [c6]Antonio Jose Rodríguez-Sánchez, Daly Chea, George Azzopardi, Sebastian Stabinger:
A deep learning approach for detecting and correcting highlights in endoscopic images. IPTA 2017: 1-6 - [c5]Simon Hangl, Sebastian Stabinger, Justus H. Piater:
Autonomous skill-centric testing using deep learning. IROS 2017: 95-102 - [i5]Simon Hangl, Sebastian Stabinger, Justus H. Piater:
Autonomous Skill-centric Testing using Deep Learning. CoRR abs/1703.00835 (2017) - [i4]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Evaluation of Deep Learning on an Abstract Image Classification Dataset. CoRR abs/1708.07770 (2017) - [i3]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez:
Guided Labeling using Convolutional Neural Networks. CoRR abs/1712.02154 (2017) - 2016
- [c4]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
25 Years of CNNs: Can We Compare to Human Abstraction Capabilities? ICANN (2) 2016: 380-387 - [c3]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation. WACV 2016: 1-9 - [i2]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Learning Abstract Classes using Deep Learning. CoRR abs/1606.05506 (2016) - [i1]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
25 years of CNNs: Can we compare to human abstraction capabilities? CoRR abs/1607.08366 (2016) - 2015
- [c2]Sebastian Stabinger, Antonio Jose Rodríguez-Sánchez, Justus H. Piater:
Learning Abstract Classes using Deep Learning. BICT 2015: 524-528 - [c1]Kerstin Fischer, Lars Christian Jensen, Franziska Kirstein, Sebastian Stabinger, Özgür Erkent, Dadhichi Shukla, Justus H. Piater:
The Effects of Social Gaze in Human-Robot Collaborative Assembly. ICSR 2015: 204-213
Coauthor Index
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