Karsten Roth
23 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
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Conferences
CVPR (6)
ICLR (5)
ICML (4)
ECCV (3)
NIPS (3)
ICCV (2)
Top co-authors
Keywords
deep metric learning
(5)
embedding space
(3)
contrastive learning
(3)
embedding learning
(3)
image retrieval
(2)
zero-shot learning
(2)
few-shot learning
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foundation model
(2)
multimodal learning
(2)
representation learning
(2)
visual similarity
(2)
metric learning
(2)
computer vision
(1)
anomaly detection
(1)
benchmark evaluation
(1)
transfer learning
(1)
image generation
(1)
continual learning
(1)
knowledge distillation
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sampling strategy
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Papers
Disentangled Representation Learning with the Gromov-Monge Gap
ICLR 2025
How to Merge Your Multimodal Models Over Time?
CVPR 2025
Context-Aware Multimodal Pretraining
CVPR 2025
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
ICML 2025
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
ECCV 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
NIPS 2024
A Practitioner's Guide to Real-World Continual Multimodal Pretraining
NIPS 2024
Vision-by-Language for Training-Free Compositional Image Retrieval
ICLR 2024
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
ICLR 2024
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
ICML 2024
Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts
ICCV 2023
Disentanglement of Correlated Factors via Hausdorff Factorized Support
ICLR 2023
Non-Isotropy Regularization for Proxy-Based Deep Metric Learning
CVPR 2022
Integrating Language Guidance Into Vision-Based Deep Metric Learning
CVPR 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
ICLR 2022
A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning
ECCV 2022
Towards Total Recall in Industrial Anomaly Detection
CVPR 2022
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
ICML 2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning
NIPS 2021
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
ICML 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning
CVPR 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
ECCV 2020
MIC: Mining Interclass Characteristics for Improved Metric Learning
ICCV 2019