Karsten Roth - RankMe

66 papers A* 20Journal 39Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers. CoRR Yiran Huang, Karsten Roth, Quentin Bouniot, Wenjia Xu, Zeynep Akata
2025	A*	`conf`	Context-Aware Multimodal Pretraining. CVPR Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Hénaff
2025	A*	`conf`	Disentangled Representation Learning with the Gromov-Monge Gap. ICLR Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi
2025	A*	`conf`	How to Merge Your Multimodal Models Over Time? CVPR Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge
2025	J	`jnl`	Subspace-Boosted Model Merging. CoRR Ronald Skorobogat, Karsten Roth, Mariana-Iuliana Georgescu, Zeynep Akata
2025	J	`jnl`	Understanding the Limits of Lifelong Knowledge Editing in LLMs. CoRR Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Tom Hartvigsen
2025	A*	`conf`	WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs. ICML Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Thomas Hartvigsen
2024	J	`jnl`	A Practitioner's Guide to Continual Multimodal Pretraining. CoRR Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Matthias Bethge, Zeynep Akata
2024	A*	`conf`	A Practitioner's Guide to Real-World Continual Multimodal Pretraining. NeurIPS Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge
2024	J	`jnl`	Context-Aware Multimodal Pretraining. CoRR Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Hénaff
2024	J	`jnl`	Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap. CoRR Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi
2024	A*	`conf`	ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. ICML Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva
2024	J	`jnl`	ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. CoRR Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva
2024	A*	`conf`	Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. ICLR Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
2024	J	`jnl`	How to Merge Your Multimodal Models Over Time? CoRR Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge
2024	—	`conf`	Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models. ECCV (26) Nishad Singhi, Jae Myung Kim, Karsten Roth, Zeynep Akata
2024	J	`jnl`	Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models. CoRR Nishad Singhi, Jae-Myung Kim, Karsten Roth, Zeynep Akata
2024	A*	`conf`	ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. NeurIPS Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
2024	J	`jnl`	ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. CoRR Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
2024	—	`conf`	Reflecting on the State of Rehearsal-Free Continual Learning with Pretrained Models. CoLLAs Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata
2024	J	`jnl`	Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models. CoRR Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata
2024	A*	`conf`	Vision-by-Language for Training-Free Compositional Image Retrieval. ICLR Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
2024	J	`jnl`	kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies. CoRR Zhongrui Gui, Shuyang Sun, Runjia Li, Jianhao Yuan, Zhaochong An, Karsten Roth, Ameya Prabhu, Philip Torr
2024	J	`jnl`	kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies. Trans. Mach. Learn. Res. Zhongrui Gui, Shuyang Sun, Runjia Li, Jianhao Yuan, Zhaochong An, Karsten Roth, Ameya Prabhu, Philip Torr
2023	A*	`conf`	Disentanglement of Correlated Factors via Hausdorff Factorized Support. ICLR Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt
2023	J	`jnl`	Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. CoRR Karsten Roth, Lukas Thede, Almut Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
2023	J	`jnl`	If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection. CoRR Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
2023	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze
2023	J	`jnl`	Vision-by-Language for Training-Free Compositional Image Retrieval. CoRR Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
2023	A*	`conf`	Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. ICCV Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata
2023	J	`jnl`	Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. CoRR Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata
2022	—	`conf`	A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. ECCV (26) Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci
2022	J	`jnl`	A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. CoRR Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci
2022	J	`jnl`	Disentanglement of Correlated Factors via Hausdorff Factorized Support. CoRR Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt
2022	—	`conf`	Improving the Fairness of Chest X-ray Classifiers. CHIL Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Pfohl, Marzyeh Ghassemi
2022	J	`jnl`	Improving the Fairness of Chest X-ray Classifiers. CoRR Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Robert Pfohl, Marzyeh Ghassemi
2022	A*	`conf`	Integrating Language Guidance into Vision-based Deep Metric Learning. CVPR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	J	`jnl`	Integrating Language Guidance into Vision-based Deep Metric Learning. CoRR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	A*	`conf`	Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning. ICLR Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi
2022	J	`jnl`	Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning. CoRR Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi
2022	J	`jnl`	Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning. CoRR Zafir Stojanovski, Karsten Roth, Zeynep Akata
2022	A*	`conf`	Non-isotropy Regularization for Proxy-based Deep Metric Learning. CVPR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	J	`jnl`	Non-isotropy Regularization for Proxy-based Deep Metric Learning. CoRR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	J	`jnl`	Sharing Matters for Generalization in Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
2022	A*	`conf`	Towards Total Recall in Industrial Anomaly Detection. CVPR Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler
2022	—	`conf`	Uniform Priors for Data-Efficient Learning. CVPR Workshops Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg
2021	A*	`conf`	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. NeurIPS Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
2021	J	`jnl`	Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Samarth Sinha, Ludwig Schmidt, Marzyeh Ghassemi, Björn Ommer
2021	A*	`conf`	Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. ICML Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
2021	J	`jnl`	Towards Total Recall in Industrial Anomaly Detection. CoRR Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler
2020	J	`jnl`	COVID-19 Image Data Collection: Prospective Predictions Are the Future. CoRR Joseph Paul Cohen, Paul Morrison, Lan Dao, Karsten Roth, Tim Q. Duong, Marzyeh Ghassemi
2020	—	`conf`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	—	`conf`	Mask Mining for Improved Liver Lesion Segmentation. ISBI Karsten Roth, Jürgen Hesser, Tomasz K. Konopczynski
2020	A*	`conf`	PADS: Policy-Adapted Sampling for Visual Similarity Learning. CVPR Karsten Roth, Timo Milbich, Björn Ommer
2020	J	`jnl`	PADS: Policy-Adapted Sampling for Visual Similarity Learning. CoRR Karsten Roth, Timo Milbich, Björn Ommer
2020	J	`jnl`	Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning. CoRR Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li, Tim Q. Duong
2020	A*	`conf`	Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. ICML Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. CoRR Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. CoRR Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
2020	J	`jnl`	Sharing Matters for Generalization in Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Biagio Brattoli, Björn Ommer
2019	J	`jnl`	Boosting Liver and Lesion Segmentation from CT Scans By Mask Mining. CoRR Karsten Roth, Jürgen Hesser, Tomasz K. Konopczynski
2019	J	`jnl`	Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss function. CoRR Karsten Roth, Tomasz K. Konopczynski, Jürgen Hesser
2019	A*	`conf`	MIC: Mining Interclass Characteristics for Improved Metric Learning. ICCV Biagio Brattoli, Karsten Roth, Björn Ommer
2019	J	`jnl`	MIC: Mining Interclass Characteristics for Improved Metric Learning. CoRR Karsten Roth, Biagio Brattoli, Björn Ommer
2019	J	`jnl`	The Liver Tumor Segmentation Benchmark (LiTS). CoRR Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, Jürgen Hesser, Samuel Kadoury, Tomasz K. Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipková, John S. Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Ping Zhou, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Felix Grün, Georgios Kaissis, Fabian Lohöfer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland H. Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze