Ozan Sener

Orcid: 0000-0002-1542-7547

According to our database1, Ozan Sener authored at least 37 papers between 2012 and 2024.

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Bibliography

2024
Addressing Misspecification in Simulation-based Inference through Data-driven Calibration.
CoRR, 2024

RanDumb: A Simple Approach that Questions the Efficacy of Continual Representation Learning.
CoRR, 2024

2023
Drinking From a Firehose: Continual Learning With Web-Scale Natural Language.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Simulation-based Inference for Cardiovascular Models.
CoRR, 2023

Online Continual Learning Without the Storage Constraint.
CoRR, 2023

Generalized Sum Pooling for Metric Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Improving information retention in large scale online continual learning.
CoRR, 2022

Domain Generalization without Excess Empirical Risk.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizing Gaussian Smoothing for Random Search.
Proceedings of the International Conference on Machine Learning, 2022

2021
Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Hausdorff Dimension, Stochastic Differential Equations, and Generalization in Neural Networks.
CoRR, 2020

Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Modeling and Optimization Trade-off in Meta-learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Guide Random Search.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Stochastic Derivative Free Optimization Method with Momentum.
Proceedings of the 8th International Conference on Learning Representations, 2020

A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning a Generative Model for Multi-Step Human-Object Interactions from Videos.
Comput. Graph. Forum, 2019

2018
Watch-n-Patch: Unsupervised Learning of Actions and Relations.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Generalizing to Unseen Domains via Adversarial Data Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Multi-Task Learning as Multi-Objective Optimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Active Learning for Convolutional Neural Networks: A Core-Set Approach.
Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Learning Under Privileged Information Using Heteroscedastic Dropout.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A Geometric Approach to Active Learning for Convolutional Neural Networks.
CoRR, 2017

image2mass: Estimating the Mass of an Object from Its Image.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Scene Semantic Reconstruction from Egocentric RGB-D-Thermal Videos.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Unsupervised Semantic Action Discovery from Video Collections.
CoRR, 2016

Unsupervised Transductive Domain Adaptation.
CoRR, 2016

Learning Transferrable Representations for Unsupervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

3D Semantic Parsing of Large-Scale Indoor Spaces.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
rCRF: Recursive Belief Estimation over CRFs in RGB-D Activity Videos.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Unsupervised Semantic Parsing of Video Collections.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Efficient MRF Energy Propagation for Video Segmentation via Bilateral Filters.
IEEE Trans. Multim., 2014

RoboBrain: Large-Scale Knowledge Engine for Robots.
CoRR, 2014

2012
Robust interactive segmentation via coloring.
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications, 2012

Error-tolerant interactive image segmentation using dynamic and iterated graph-cuts.
Proceedings of the 2nd ACM international workshop on Interactive multimedia on mobile and portable devices, 2012

Interactive 2D-3D image conversion for mobile devices.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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