Roth, Karsten

31 publications

CVPR 2025 Context-Aware Multimodal Pretraining Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Henaff

ICLR 2025 Disentangled Representation Learning with the Gromov-Monge Gap Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J Theis, Zeynep Akata, Marco Cuturi

ICLRW 2025 How to Merge Multimodal Models over Time? Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge

CVPR 2025 How to Merge Your Multimodal Models over Time? Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge

ICML 2025 WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Thomas Hartvigsen

NeurIPSW 2024 A Practitioner's Guide to Continual Multimodal Pretraining Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J Henaff, Samuel Albanie, Matthias Bethge, Zeynep Akata

NeurIPS 2024 A Practitioner's Guide to Real-World Continual Multimodal Pretraining Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge

ICMLW 2024 Disentangled Representation Learning Through Geometry Preservation with the Gromov-Monge Gap Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J Theis, Zeynep Akata, Marco Cuturi

ICML 2024 ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva

ICLR 2024 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 Henaff, Zeynep Akata

ECCV 2024 Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models Nishad Singhi, Jae Myung Kim, Karsten Roth, Zeynep Akata

ICLRW 2024 Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models Nishad Singhi, Jae Myung Kim, Karsten Roth, Zeynep Akata

NeurIPS 2024 ReNO: Enhancing One-Step Text-to-Image Models Through Reward-Based Noise Optimization Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata

CoLLAs 2024 Reflecting on the State of Rehearsal-Free Continual Learning with Pretrained Models Lukas Thede, Karsten Roth, Olivier J Henaff, Matthias Bethge, Zeynep Akata

ICLR 2024 Vision-by-Language for Training-Free Compositional Image Retrieval Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata

TMLR 2024 kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies Zhongrui Gui, Shuyang Sun, Runjia Li, Jianhao Yuan, Zhaochong An, Karsten Roth, Ameya Prabhu, Philip Torr

ICLR 2023 Disentanglement of Correlated Factors via Hausdorff Factorized Support Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt

ICCV 2023 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

ECCV 2022 A Non-Isotropic Probabilistic Take on Proxy-Based Deep Metric Learning Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci

CHIL 2022 Improving the Fairness of Chest X-Ray Classifiers Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Pfohl, Marzyeh Ghassemi

CVPR 2022 Integrating Language Guidance into Vision-Based Deep Metric Learning Karsten Roth, Oriol Vinyals, Zeynep Akata

ICLR 2022 Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi

NeurIPSW 2022 Momentum-Based Weight Interpolation of Strong Zero-Shot Models for Continual Learning Zafir Stojanovski, Karsten Roth, Zeynep Akata

NeurIPSW 2022 Momentum-Based Weight Interpolation of Strong Zero-Shot Models for Continual Learning Zafir Stojanovski, Karsten Roth, Zeynep Akata

CVPR 2022 Non-Isotropy Regularization for Proxy-Based Deep Metric Learning Karsten Roth, Oriol Vinyals, Zeynep Akata

CVPR 2022 Towards Total Recall in Industrial Anomaly Detection Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter Gehler

CVPRW 2022 Uniform Priors for Data-Efficient Learning Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg

NeurIPS 2021 Characterizing Generalization Under Out-of-Distribution Shifts in Deep Metric Learning Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Bjorn Ommer

ICML 2021 Simultaneous Similarity-Based Self-Distillation for Deep Metric Learning Karsten Roth, Timo Milbich, Bjorn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi

ECCV 2020 DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen

ICML 2020 Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Bjorn Ommer, Joseph Paul Cohen