Lampert, Christoph H.

iCaRL: Incremental Classifier and Representation Learning

Rebuffi, S.-A., Kolesnikov, A., Sperl, G., & Lampert, C. H. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 3,988

Learning to detect unseen object classes by between-class attribute transfer

Lampert, C. H., Nickisch, H., & Harmeling, S. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,849

Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

Xian, Y., Lampert, C. H., Schiele, B., & Akata, Z. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,678

Learning to Localize Objects with Structured Output Regression

Blaschko, M. B., & Lampert, C. H. (2008) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 324

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Zverev, E., Abdelnabi, S., Tabesh, S., Fritz, M., & Lampert, C. H. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1

More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms

Zakerinia, H., Behjati, A., & Lampert, C. H. (2024) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 0