Ozan Sener

Puneet K. Dokania

CoRR, 2024

2023

Drinking From a Firehose: Continual Learning With Web-Scale Natural Language.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Simulation-based Inference for Cardiovascular Models.

[BibT_eX]

[DOI]

CoRR, 2023

Online Continual Learning Without the Storage Constraint.

[BibT_eX]

[DOI]

CoRR, 2023

Generalized Sum Pooling for Metric Learning.

[BibT_eX]

[DOI]

Yeti Ziya Gürbüz

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Improving information retention in large scale online continual learning.

[BibT_eX]

[DOI]

Zhipeng Cai

CoRR, 2022

Domain Generalization without Excess Empirical Risk.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Katelyn Gao

Proceedings of the International Conference on Machine Learning, 2022

2021

Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data.

[BibT_eX]

[DOI]

Zhipeng Cai

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Katelyn Gao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning to Guide Random Search.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

A Stochastic Derivative Free Optimization Method with Momentum.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning a Generative Model for Multi-Step Human-Object Interactions from Videos.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2019

2018

Watch-n-Patch: Unsupervised Learning of Actions and Relations.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Generalizing to Unseen Domains via Adversarial Data Augmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Learning Under Privileged Information Using Heteroscedastic Dropout.

[BibT_eX]

[DOI]

John Lambert

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

A Geometric Approach to Active Learning for Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

image2mass: Estimating the Mass of an Object from Its Image.

[BibT_eX]

[DOI]

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Scene Semantic Reconstruction from Egocentric RGB-D-Thermal Videos.

[BibT_eX]

[DOI]

Rachel Luo

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

Unsupervised Semantic Action Discovery from Video Collections.

[BibT_eX]

[DOI]

CoRR, 2016

Unsupervised Transductive Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2016

Learning Transferrable Representations for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ashutosh Saxena

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Unsupervised Semantic Parsing of Video Collections.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Efficient MRF Energy Propagation for Video Segmentation via Bilateral Filters.

[BibT_eX]

[DOI]

Kemal Ugur

IEEE Trans. Multim., 2014

RoboBrain: Large-Scale Knowledge Engine for Robots.

[BibT_eX]

[DOI]

CoRR, 2014

2012

Robust interactive segmentation via coloring.

[BibT_eX]

[DOI]

Kemal Ugur

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.

[BibT_eX]

[DOI]

Kemal Ugur