Ozan Sener - RankMe

58 papers A* 18B 1Misc 1Journal 32Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Evict from Key-Value Cache. CoRR Luca Moschella, Laura Manduchi, Ozan Sener
2025	A*	`conf`	Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. ICML Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Jörn-Henrik Jacobsen, Marco Cuturi
2025	A*	`conf`	Robust Autonomy Emerges from Self-Play. ICML Marco Francis Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2025	J	`jnl`	Robust Autonomy Emerges from Self-Play. CoRR Marco F. Cusumano-Towner, David Hafner, Alexander Hertzberg, Brody Huval, Aleksei Petrenko, Eugene Vinitsky, Erik Wijmans, Taylor W. Killian, Stuart Bowers, Ozan Sener, Philipp Krähenbühl, Vladlen Koltun
2024	J	`jnl`	Addressing Misspecification in Simulation-based Inference through Data-driven Calibration. CoRR Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro, Marco Cuturi, Jörn-Henrik Jacobsen
2024	J	`jnl`	Leveraging Cardiovascular Simulations for In-Vivo Prediction of Cardiac Biomarkers. CoRR Laura Manduchi, Antoine Wehenkel, Jens Behrmann, Luca Pegolotti, Andy C. Miller, Ozan Sener, Marco Cuturi, Guillermo Sapiro, Jörn-Henrik Jacobsen
2024	J	`jnl`	RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning. CoRR Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H. S. Torr, Ozan Sener, Puneet K. Dokania
2024	A*	`conf`	RanDumb: Random Representations Outperform Online Continually Learned Representations. NeurIPS Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip Torr, Ozan Sener, Puneet K. Dokania
2023	J	`jnl`	Domain Generalization without Excess Empirical Risk. CoRR Ozan Sener, Vladlen Koltun
2023	J	`jnl`	Drinking From a Firehose: Continual Learning With Web-Scale Natural Language. IEEE Trans. Pattern Anal. Mach. Intell. Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun
2023	A*	`conf`	Generalized Sum Pooling for Metric Learning. ICCV Yeti Ziya Gürbüz, Ozan Sener, A. Aydin Alatan
2023	J	`jnl`	Generalized Sum Pooling for Metric Learning. CoRR Yeti Ziya Gurbuz, Ozan Sener, A. Aydin Alatan
2023	J	`jnl`	MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
2023	J	`jnl`	Online Continual Learning Without the Storage Constraint. CoRR Ameya Prabhu, Zhipeng Cai, Puneet K. Dokania, Philip H. S. Torr, Vladlen Koltun, Ozan Sener
2023	J	`jnl`	Simulation-based Inference for Cardiovascular Models. CoRR Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi, Jörn-Henrik Jacobsen
2022	A*	`conf`	Domain Generalization without Excess Empirical Risk. NeurIPS Ozan Sener, Vladlen Koltun
2022	A*	`conf`	Generalizing Gaussian Smoothing for Random Search. ICML Katelyn Gao, Ozan Sener
2022	J	`jnl`	Generalizing Gaussian Smoothing for Random Search. CoRR Katelyn Gao, Ozan Sener
2022	J	`jnl`	Improving information retention in large scale online continual learning. CoRR Zhipeng Cai, Vladlen Koltun, Ozan Sener
2021	J	`jnl`	MSeg: A Composite Dataset for Multi-domain Semantic Segmentation. CoRR John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
2021	A*	`conf`	Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. ICCV Zhipeng Cai, Ozan Sener, Vladlen Koltun
2021	J	`jnl`	Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. CoRR Zhipeng Cai, Ozan Sener, Vladlen Koltun
2020	A*	`conf`	A Stochastic Derivative Free Optimization Method with Momentum. ICLR Eduard Gorbunov, Adel Bibi, Ozan Sener, El Houcine Bergou, Peter Richtárik
2020	A*	`conf`	A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control. AAAI Adel Bibi, El Houcine Bergou, Ozan Sener, Bernard Ghanem, Peter Richtárik
2020	J	`jnl`	Drinking from a Firehose: Continual Learning with Web-scale Natural Language. CoRR Hexiang Hu, Ozan Sener, Fei Sha, Vladlen Koltun
2020	A*	`conf`	Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks. NeurIPS Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
2020	J	`jnl`	Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks. CoRR Umut Simsekli, Ozan Sener, George Deligiannidis, Murat A. Erdogdu
2020	A*	`conf`	Learning to Guide Random Search. ICLR Ozan Sener, Vladlen Koltun
2020	J	`jnl`	Learning to Guide Random Search. CoRR Ozan Sener, Vladlen Koltun
2020	A*	`conf`	MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. CVPR John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
2020	A*	`conf`	Modeling and Optimization Trade-off in Meta-learning. NeurIPS Katelyn Gao, Ozan Sener
2020	J	`jnl`	Modeling and Optimization Trade-off in Meta-learning. CoRR Katelyn Gao, Ozan Sener
2019	J	`jnl`	Learning a Generative Model for Multi-Step Human-Object Interactions from Videos. Comput. Graph. Forum He Wang, Sören Pirk, Ersin Yumer, Vladimir G. Kim, Ozan Sener, Srinath Sridhar, Leonidas J. Guibas
2018	—	`conf`	Active Learning for Convolutional Neural Networks: A Core-Set Approach. ICLR (Poster) Ozan Sener, Silvio Savarese
2018	A*	`conf`	Deep Learning Under Privileged Information Using Heteroscedastic Dropout. CVPR John Lambert, Ozan Sener, Silvio Savarese
2018	J	`jnl`	Deep Learning under Privileged Information Using Heteroscedastic Dropout. CoRR John Lambert, Ozan Sener, Silvio Savarese
2018	A*	`conf`	Generalizing to Unseen Domains via Adversarial Data Augmentation. NeurIPS Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese
2018	J	`jnl`	Generalizing to Unseen Domains via Adversarial Data Augmentation. CoRR Riccardo Volpi, Hongseok Namkoong, Ozan Sener, John C. Duchi, Vittorio Murino, Silvio Savarese
2018	A*	`conf`	Multi-Task Learning as Multi-Objective Optimization. NeurIPS Ozan Sener, Vladlen Koltun
2018	J	`jnl`	Multi-Task Learning as Multi-Objective Optimization. CoRR Ozan Sener, Vladlen Koltun
2018	J	`jnl`	Watch-n-Patch: Unsupervised Learning of Actions and Relations. IEEE Trans. Pattern Anal. Mach. Intell. Chenxia Wu, Jiemi Zhang, Ozan Sener, Bart Selman, Silvio Savarese, Ashutosh Saxena
2017	J	`jnl`	A Geometric Approach to Active Learning for Convolutional Neural Networks. CoRR Ozan Sener, Silvio Savarese
2017	—	`conf`	Scene Semantic Reconstruction from Egocentric RGB-D-Thermal Videos. 3DV Rachel Luo, Ozan Sener, Silvio Savarese
2017	Misc	`conf`	image2mass: Estimating the Mass of an Object from Its Image. CoRL Trevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese
2016	A*	`conf`	3D Semantic Parsing of Large-Scale Indoor Spaces. CVPR Iro Armeni, Ozan Sener, Amir R. Zamir, Helen Jiang, Ioannis K. Brilakis, Martin Fischer, Silvio Savarese
2016	—	`conf`	Learning Transferrable Representations for Unsupervised Domain Adaptation. NIPS Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
2016	J	`jnl`	Unsupervised Semantic Action Discovery from Video Collections. CoRR Ozan Sener, Amir Roshan Zamir, Chenxia Wu, Silvio Savarese, Ashutosh Saxena
2016	J	`jnl`	Unsupervised Transductive Domain Adaptation. CoRR Ozan Sener, Hyun Oh Song, Ashutosh Saxena, Silvio Savarese
2016	J	`jnl`	Watch-n-Patch: Unsupervised Learning of Actions and Relations. CoRR Chenxia Wu, Jiemi Zhang, Ozan Sener, Bart Selman, Silvio Savarese, Ashutosh Saxena
2015	A*	`conf`	Unsupervised Semantic Parsing of Video Collections. ICCV Ozan Sener, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena
2015	J	`jnl`	Unsupervised Semantic Parsing of Video Collections. CoRR Ozan Sener, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena
2015	—	`conf`	rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos. Robotics: Science and Systems Ozan Sener, Ashutosh Saxena
2014	J	`jnl`	Efficient MRF Energy Propagation for Video Segmentation via Bilateral Filters. IEEE Trans. Multim. Ozan Sener, Kemal Ugur, A. Aydin Alatan
2014	J	`jnl`	RoboBrain: Large-Scale Knowledge Engine for Robots. CoRR Ashutosh Saxena, Ashesh Jain, Ozan Sener, Aditya Jami, Dipendra Kumar Misra, Hema Swetha Koppula
2013	J	`jnl`	Efficient MRF Energy Propagation for Video Segmentation via Bilateral Filters CoRR Ozan Sener, Kemal Ugur, A. Aydin Alatan
2012	—	`conf`	Error-tolerant interactive image segmentation using dynamic and iterated graph-cuts. IMMPD@ACM Multimedia Ozan Sener, Kemal Ugur, A. Aydin Alatan
2012	B	`conf`	Interactive 2D-3D image conversion for mobile devices. ICIP Yagiz Aksoy, Ozan Sener, A. Aydin Alatan, Kemal Ugur
2012	—	`conf`	Robust interactive segmentation via coloring. VIGTA@AVI Ozan Sener, Kemal Ugur, A. Aydin Alatan