Papers matching “representation learning” 122
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Video Representation Learning for Decoupled Deep Reinforcement Learning Applied to Autonomous Driving2023 IEEE/SICE International Symposium on System Integration (SII) conference-paper Computer Science Reinforcement Learning in Robotics
Shawan Taha Mohammed, Mohamed Kastouri, Artur Niederfahrenhorst, Gerd Ascheid
1citations -
Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification2021 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Ina Laube, Martina Margrit Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara M. Klinkhammer, +3 more
0citations -
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek
1citations -
Abnormality-Driven Representation Learning for Radiology Imaging2025 Lecture notes in computer science conference-paper Medicine Radiomics and Machine Learning in Medical Imaging Open access
Marta Ligero, Tim Lenz, Georg Wölflein, Omar S. M. El Nahhas, Daniel Truhn, Jakob Nikolas Kather
0citations -
Guided Representation Learning for the Classification of Hematopoietic Cells2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Digital Imaging for Blood Diseases
Philipp Gräbel, Martina Margrit Crysandt, Barbara M. Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2citations -
Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition2023 Lecture notes in computer science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler
4citations -
Autism Spectrum Disorder Classification Based on Interpersonal Neural Synchrony: Can Classification be Improved by Dyadic Neural Biomarkers Using Unsupervised Graph Representation Learning?2022 Lecture notes in computer science conference-paper Neuroscience Autism Spectrum Disorder Research Open access
Christian Gerloff, Kerstin Konrad, Martin Schulte‐Rüther, Vanessa Reindl
7citations -
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving2024 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) conference-paper Computer Science Reinforcement Learning in Robotics
Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid
0citations -
From Faults to Features: Pretraining to Learn Robust Representations against Sensor Failures2025 neural information processing systems conference-paper Engineering Fault Detection and Control Systems
Jens U. Brandt, Noah Christoph Pütz, Marcus Greiff, Thomas Lew, John Subosits, Marc Hilbert, +1 more
0citations -
Fine-Grained Emotion Recognition via In-Context Learning2025 ACM International Conference on Information and Knowledge Management (CIKM) conference-paper Computer Science Sentiment Analysis and Opinion Mining Open access
Zhaochun Ren, Zhou Yang, Chenglong Ye, Haizhou Sun, Xiaofei Zhu, Xiangwen Liao
0citations -
An Investigation on Inherent Robustness of Posit Data Representation2021 International Conference on VLSI Design and International Conference on Embedded Systems (VLSID) conference-paper Computer Science Numerical Methods and Algorithms Open access
Ihsen Alouani, Anouar Ben Khalifa, Farhad Merchant, Rainer Leupers
20citations -
Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees10citations
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LITEVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data2024 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Speech and Audio Processing
Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Märtin, Arne Peine, Anke Schmeink
5citations -
Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Machine Learning and Data Classification Open access
Erfan Moeini, Christopher Vox, Marie Anastacio, Wadie Skaf, Mitra Baratchi, Holger H. Hoos
0citations