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Papers matching “few-shot adaptation” 29

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Self-Supervised Contrastive Learning for Consistent Few-Shot Image Representations
2024 Lecture notes in computer science conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof

2

citations
Hardware-aware Few-shot Learning on a Memristor-based Small-world Architecture
2024 conference-paper Engineering Advanced Memory and Neural Computing Open access

Yiğit Demirağ, Emre Neftci, Melika Payvand

1

citations
Robust Few-Shot Specific Emitter Identification Using Multi-View Feature Fusion with Attention
2025 conference-paper Computer Science Wireless Signal Modulation Classification

Gaoli Yan, Xue Gang Fu, Yu Wang, Haris Gacanin, Hikmet Sari, Guan Gui

1

citations
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof

1

citations
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, +2 more

2

citations
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
2022 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access cited by 1 patent

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

34

citations
Sim-to-Real Domain Adaptation of Infrastructure Sensor Lidar Point Clouds using Generative Adversarial Networks
2023 International Conference on Electrical, Computer and Energy Technologies (ICECET) conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Amarin Kloeker, Yangyi Liu, Mischa Maier, Lutz Eckstein

2

citations
Localization-Driven Speech Enhancement in Noisy Multi-Speaker Hospital Environments Using Deep Learning and Meta Learning
2022 IEEE/ACM Transactions on Audio Speech and Language Processing article Computer Science Speech and Audio Processing

Mahdi Barhoush, Ahmed Hallawa, Arne Peine, Lukas Märtin, Anke Schmeink

22

citations
An In-Context Foundation Model for Predictive Process Monitoring on Event Logs
2025 preprint Business, Management and Accounting Business Process Modeling and Analysis Open access

Alessandro Berti, Wil M. P. van der Aalst

0

citations
An In-Context Foundation Model for Predictive Process Monitoring on Event Logs
2026 IEEE Access article Business, Management and Accounting Business Process Modeling and Analysis Open access

Alessandro Berti, Wil M. P. van der Aalst

0

citations
Union Embedding and Backbone-Attention boost Zero-Shot Learning Model (UBZSL)
2022 conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Ziyu Li

0

citations
Pre-training and Meta-learning for Memristor Crossbar Arrays
2023 conference-paper Engineering Advanced Memory and Neural Computing

Emre Neftci

0

citations
On-Chip Learning via Transformer In-Context Learning
2024 arXiv (Cornell University) preprint Engineering Analog and Mixed-Signal Circuit Design Open access

Jan Finkbeiner, Emre Neftci

0

citations
Localized Latent Updates for Fine-Tuning Vision-Language Models
2022 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Moritz Ibing, Isaak Lim, Leif P. Kobbelt

0

citations
On-Chip Learning via Transformer In-Context Learning
2025 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) conference-paper Engineering Advanced Memory and Neural Computing

Jan Finkbeiner, Emre Neftci

0

citations
Localized Latent Updates for Fine-Tuning Vision-Language Models
2023 conference-paper Computer Science Multimodal Machine Learning Applications

Moritz Ibing, Isaak Lim, Leif P. Kobbelt

0

citations
On data and knowledge transfer efficiency in deep learning
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Domain Adaptation and Few-Shot Learning Open access

Alessio Quercia

0

citations
$μ$PC: Scaling Predictive Coding to 100+ Layer Networks
2025 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Francesco Innocenti, El Mehdi Achour, Christopher L. Buckley

0

citations
Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects
2025 Medical Image Analysis article Computer Science Domain Adaptation and Few-Shot Learning Open access

Joohi Chauhan, Afshin Bozorgpour, Boqiang Huang, Reza Azad, Dorit Merhof

25

citations
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof

2

citations
Development of a Framework for Continual Learning in Industrial Robotics
2022 2022 IEEE 27th 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

1

citations
Vision Also You Need: Navigating Out-of-Distribution Detection with Multimodal Large Language Model
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Haoran Xu, Yanlin Liu, Zizhao Tong, Jiaze Li, Kexue Fu, Yuyang Zhang, +5 more

0

citations
Domain-incremental white blood cell classification with privacy-aware continual learning
2025 Scientific Reports article Computer Science Domain Adaptation and Few-Shot Learning Open access

Pratibha Kumari, Afshin Bozorgpour, Daniel Reisenbüchler, Edgar Jost, Martina Margrit Crysandt, Christian Matek, +1 more

2

citations
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation
2026 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

1

citations
Concurrent Split Learning Through Stable Client Clustering
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink

0

citations