Fatemeh Sheikholeslami

According to our database, Fatemeh Sheikholeslami authored at least 27 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation.

Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter

CoRR, 2023

Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems.

Ting-Wei Wu, Fatemeh Sheikholeslami, Mohammad Kachuee, Jaeyoung Do, Sungjin Lee

CoRR, 2023

Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes.

Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems.

Sarthak Ahuja, Mohammad Kachuee, Fatemeh Sheikholeslami, Weiqing Liu, Jaeyoung Do

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2021

You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries.

Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami, Filipe Condessa, J. Zico Kolter

CoRR, 2021

Provably robust classification of adversarial examples with detection.

Fatemeh Sheikholeslami, Ali Lotfi, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Reinforcement Learning for Caching with Space-Time Popularity Dynamics.

Alireza Sadeghi, Georgios B. Giannakis, Gang Wang, Fatemeh Sheikholeslami

CoRR, 2020

Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks.

Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis

Proceedings of the Information Theory and Applications Workshop, 2020

2019

Reinforcement Learning for Adaptive Caching With Dynamic Storage Pricing.

Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques, Georgios B. Giannakis

IEEE J. Sel. Areas Commun., 2019

Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks.

Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis

Proceedings of the IEEE International Conference on Acoustics, 2019

Structured Egonet Tensors for Robust Node Embedding.

Fatemeh Sheikholeslami, Georgios B. Giannakis

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018

Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition.

Fatemeh Sheikholeslami, Georgios B. Giannakis

IEEE Trans. Signal Process., 2018

Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget.

Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis

IEEE Trans. Signal Process., 2018

Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities.

Alireza Sadeghi, Fatemeh Sheikholeslami, Georgios B. Giannakis

IEEE J. Sel. Top. Signal Process., 2018

Optimal Dynamic Proactive Caching Via Reinforcement Learning.

Alireza Sadeghi, Fatemeh Sheikholeslami, Georgios B. Giannakis

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Reinforcement Learning for 5G Caching with Dynamic Cost.

Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marqués, Georgios B. Giannakis

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Overlapping Community Detection via Constrained PARAFAC: A Divide and Conquer Approach.

Fatemeh Sheikholeslami, Georgios B. Giannakis

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Memory efficient low-rank non-linear subspace tracking.

Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Scalable kernel-based learning via low-rank approximation of lifted data.

Fatemeh Sheikholeslami, Georgios B. Giannakis

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Soft unveiling of communities via egonet tensors.

Fatemeh Sheikholeslami, Georgios B. Giannakis

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking.

Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis

CoRR, 2016

Egonet tensor decomposition for community identification.

Fatemeh Sheikholeslami, Brian Baingana, Georgios B. Giannakis, Nikolas D. Sidiropoulos

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

Optimal Probabilistic Initial and Target Channel Selection for Spectrum Handoff in Cognitive Radio Networks.

Fatemeh Sheikholeslami, Masoumeh Nasiri-Kenari, Farid Ashtiani

IEEE Trans. Wirel. Commun., 2015

Kernel-based low-rank feature extraction on a budget for big data streams.

Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Online subspace learning and nonlinear classification of Big Data with misses.

Fatemeh Sheikholeslami, Georgios B. Giannakis

Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014

Classification of streaming big data with misses.

Fatemeh Sheikholeslami, Morteza Mardani, Georgios B. Giannakis

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks.

Hossein Shokri Ghadikolaei, Fatemeh Sheikholeslami, Masoumeh Nasiri-Kenari

IEEE Trans. Wirel. Commun., 2013