Karsten Roth

papers

1,788

total citations

papers (13)

Towards Total Recall in Industrial Anomaly Detection

CVPR 2022arXiv

1,370

citations

Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts

ICCV 2023arXiv

115

citations

Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning

NEURIPS 2021arXiv

citations

A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning

ECCV 2022arXiv

citations

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

ICLR 2024arXiv

citations

How to Merge Your Multimodal Models Over Time?

CVPR 2025arXiv

citations

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs

ICML 2025arXiv

citations

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections

ICML 2024arXiv

citations

Context-Aware Multimodal Pretraining

CVPR 2025arXiv

citations

Karsten Roth

papers (13)

Towards Total Recall in Industrial Anomaly Detection

Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

PADS: Policy-Adapted Sampling for Visual Similarity Learning

Non-Isotropy Regularization for Proxy-Based Deep Metric Learning

Integrating Language Guidance Into Vision-Based Deep Metric Learning

Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning

A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

How to Merge Your Multimodal Models Over Time?

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections

Context-Aware Multimodal Pretraining

papers (13)

Towards Total Recall in Industrial Anomaly Detection

Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

PADS: Policy-Adapted Sampling for Visual Similarity Learning

Non-Isotropy Regularization for Proxy-Based Deep Metric Learning

Integrating Language Guidance Into Vision-Based Deep Metric Learning

Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning

A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

How to Merge Your Multimodal Models Over Time?

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections

Context-Aware Multimodal Pretraining