Topics › Physical Sciences › Computer Science › Artificial Intelligence
Domain Adaptation and Few-Shot Learning Sign in to save
79
Aachen papers (primary topic)
311
Further papers (secondary topic)
1.1k
Citations
81
Aachen authors
Papers per year
20
21
22
23
24
25
26
Papers 79
Open in paper search →-
Multi-Domain Lifelong Visual Question Answering via Self-Critical Distillation2023 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Mingrui Lao, Nan Pu, Yu Liu, Zhun Zhong, Erwin M. Bakker, Nicu Sebe, +1 more
5citations -
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 -
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access
Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, +3 more
2citations -
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access
Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof
2citations -
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 -
Development of a Framework for Continual Learning in Industrial Robotics2022 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) conference-paper Computer Science Domain Adaptation and Few-Shot Learning
Minh Trinh, Lukas Grundel, Victoria Hankemeier, Simon Storms, Christian Brecher
1citations -
Deep Learning-Based Bias Transfer for Overcoming Laboratory Differences of Microscopic Images2021 Lecture notes in computer science conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access
Ann-Katrin Thebille, Esther Dietrich, Martin Klaus, Lukas Gernhold, Maximilian Lennartz, Christoph Kuppe, +6 more
1citations
Most active Aachen authors
-
Jan N. van Rijn 3,061 citations overall11 papers
-
Aske Plaat 3,671 citations overall10 papers
-
Mike Huisman 376 citations overall9 papers
-
Erwin M. Bakker 2,688 citations overall7 papers
-
Zhaochun Ren 7,872 citations overall6 papers
-
Michael S. Lew 3,776 citations overall6 papers
-
Hazel Doughty 2,102 citations overall6 papers
-
Michael S. Lew 8,669 citations overall5 papers
-
Reza Azad 5,265 citations overall5 papers
-
Mingrui Lao 322 citations overall4 papers
-
Thomas Bäck 22,845 citations overall3 papers
-
Marcello Bonsangue 2,522 citations overall3 papers
-
Bas van Stein 1,388 citations overall3 papers
-
Fabian M. Kiessling 36,195 citations overall2 papers
-
Leif P. Kobbelt 19,586 citations overall2 papers