Karsten Roth
Orcid: 0000-0003-1510-7217
According to our database1,
Karsten Roth
authored at least 34 papers
between 2019 and 2024.
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Bibliography
2024
Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap.
CoRR, 2024
CoRR, 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization.
CoRR, 2024
CoRR, 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models.
CoRR, 2024
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies.
CoRR, 2024
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Waffling around for Performance: Visual Classification with Random Words and Broad Concepts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning.
CoRR, 2022
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Conference on Health, Inference, and Learning, 2022
2021
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
CoRR, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019