Karsten Roth
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
5
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | How to Merge Your Multimodal Models Over Time? | Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge |
| 2025 | CVPR | Context-Aware Multimodal Pretraining. | Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Hnaff |
| 2025 | ICLR | Disentangled Representation Learning with the Gromov-Monge Gap. | Tho Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi |
| 2025 | ICML | WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs. | Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Thomas Hartvigsen |
| 2024 | ECCV | Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models. | Nishad Singhi, Jae Myung Kim, Karsten Roth, Zeynep Akata |
| 2024 | ICLR | Vision-by-Language for Training-Free Compositional Image Retrieval. | Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata |
| 2024 | ICLR | Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. | Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier J. Hnaff, Zeynep Akata |
| 2024 | ICML | ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. | Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva |
| 2023 | ICCV | Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. | Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata |
| 2023 | ICLR | Disentanglement of Correlated Factors via Hausdorff Factorized Support. | Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt |
| 2022 | CVPR | Towards Total Recall in Industrial Anomaly Detection. | Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schlkopf, Thomas Brox, Peter V. Gehler |
| 2022 | CVPR | Non-isotropy Regularization for Proxy-based Deep Metric Learning. | Karsten Roth, Oriol Vinyals, Zeynep Akata |
| 2022 | CVPR | Integrating Language Guidance into Vision-based Deep Metric Learning. | Karsten Roth, Oriol Vinyals, Zeynep Akata |
| 2022 | CVPR | Uniform Priors for Data-Efficient Learning. | Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg |
| 2022 | ECCV | A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. | Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci |
| 2022 | ICLR | Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning. | Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi |
| 2021 | ICML | Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. | Karsten Roth, Timo Milbich, Bjrn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi |
| 2020 | CVPR | PADS: Policy-Adapted Sampling for Visual Similarity Learning. | Karsten Roth, Timo Milbich, Bjrn Ommer |
| 2020 | ECCV | DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. | Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Bjrn Ommer, Joseph Paul Cohen |
| 2020 | ICML | Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. | Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Bjrn Ommer, Joseph Paul Cohen |
| 2019 | ICCV | MIC: Mining Interclass Characteristics for Improved Metric Learning. | Biagio Brattoli, Karsten Roth, Bjrn Ommer |