Sebastian Stabinger

Trans. Mach. Learn. Res., 2022

Greedy-layer pruning: Speeding up transformer models for natural language processing.

[BibT_eX]

[DOI]

Stefan Engl

Pattern Recognit. Lett., 2022

Evaluating Attention in Convolutional Neural Networks for Blended Images.

[BibT_eX]

[DOI]

Andrea Portscher

Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

Improving 3D Point Cloud Reconstruction with Dynamic Tree-Structured Capsules.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

2021

conflicting_bundle.py - A python module to identify problematic layers in deep neural networks.

[BibT_eX]

[DOI]

Softw. Impacts, 2021

Classification of Tennis Shots with a Neural Network Approach.

[BibT_eX]

[DOI]

Andreas Ganser

Bernhard Hollaus

Sensors, 2021

Limitation of capsule networks.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

Arguments for the unsuitability of convolutional neural networks for non-local tasks.

[BibT_eX]

[DOI]

Neural Networks, 2021

Greedy Layer Pruning: Decreasing Inference Time of Transformer Models.

[BibT_eX]

[DOI]

Stefan Engl

CoRR, 2021

Auto-tuning of Deep Neural Networks by Conflicting Layer Removal.

[BibT_eX]

[DOI]

CoRR, 2021

Conflicting Bundles: Adapting Architectures Towards the Improved Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Adversarial Examples Against a BERT ABSA Model - Fooling Bert With L33T, Misspellign, and Punctuation, .

[BibT_eX]

[DOI]

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021

2020

Using Wearable Sensors and a Convolutional Neural Network for Catch Detection in American Football.

[BibT_eX]

[DOI]

Sensors, 2020

Evaluating the Progress of Deep Learning for Visual Relational Concepts.

[BibT_eX]

[DOI]

CoRR, 2020

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification.

[BibT_eX]

[DOI]

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019

Limitations of routing-by-agreement based capsule networks.

[BibT_eX]

[DOI]

CoRR, 2019

Evaluating CNNs on the Gestalt Principle of Closure.

[BibT_eX]

[DOI]

Gregor Ehrensperger

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

Training Deep Capsule Networks.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Guided Labeling using Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Autonomous skill-centric testing using deep learning.

[BibT_eX]

[DOI]

Simon Hangl

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

A deep learning approach for detecting and correcting highlights in endoscopic images.

[BibT_eX]

[DOI]

Daly Chea

George Azzopardi

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Evaluation of Deep Learning on an Abstract Image Classification Dataset.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016

Monocular obstacle avoidance for blind people using probabilistic focus of expansion estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

25 Years of CNNs: Can We Compare to Human Abstraction Capabilities?

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

The Effects of Social Gaze in Human-Robot Collaborative Assembly.

[BibT_eX]

[DOI]

Kerstin Fischer

Lars Christian Jensen

Proceedings of the Social Robotics - 7th International Conference, 2015

Learning Abstract Classes using Deep Learning.

[BibT_eX]

[DOI]