270 citations · 295 across the 9 of their papers we have counts for
11 papers
Data Augmentation for Improving Tail-traffic Robustness in Skill-routing for Dialogue Systems
Ting-Wei Wu, Fatemeh Sheikholeslami, Mohammad Kachuee +2
Large-scale conversational systems typically rely on a skill-routing component to route a user request to an appropriate skill and interpretation to serve the request. In such syst…
Scalable and Safe Remediation of Defective Actions in Self-Learning Conversational Systems
Sarthak Ahuja, Mohammad Kachuee, Fateme Sheikholeslami +2
Off-Policy reinforcement learning has been a driving force for the state-of-the-art conversational AIs leading to more natural humanagent interactions and improving the user satisf…
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes
Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn +1
This work concerns the development of deep networks that are certifiably robust to adversarial attacks. Joint robust classification-detection was recently introduced as a certified…
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries
Devin Willmott, Anit Kumar Sahu, Fatemeh Sheikholeslami +2
Researchers have repeatedly shown that it is possible to craft adversarial attacks on deep classifiers (small perturbations that significantly change the class label), even in the…
Reinforcement Learning for Caching with Space-Time Popularity Dynamics
Alireza Sadeghi, Georgios B. Giannakis, Gang Wang +1
With the tremendous growth of data traffic over wired and wireless networks along with the increasing number of rich-media applications, caching is envisioned to play a critical ro…
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis
Despite their unprecedented performance in various domains, utilization of Deep Neural Networks (DNNs) in safety-critical environments is severely limited in the presence of even s…
Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing
Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques +1
Small base stations (SBs) of fifth-generation (5G) cellular networks are envisioned to have storage devices to locally serve requests for reusable and popular contents by \emph{cac…
Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-time Popularities
Alireza Sadeghi, Fatemeh Sheikholeslami, Georgios B. Giannakis
Small basestations (SBs) equipped with caching units have potential to handle the unprecedented demand growth in heterogeneous networks. Through low-rate, backhaul connections with…
Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition
Fatemeh Sheikholeslami, Georgios B. Giannakis
Detection of overlapping communities in real-world networks is a generally challenging task. Upon recognizing that a network is in fact the union of its egonets, a novel network re…
Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking
Fatemeh Sheikholeslami, Dimitris Berberidis, Georgios B. Giannakis
Kernel-based methods enjoy powerful generalization capabilities in handling a variety of learning tasks. When such methods are provided with sufficient training data, broadly-appli…
Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks
Hossein Shokri-Ghadikolaei, Fatemeh Sheikholeslami, Masoumeh Nasiri-Kenari
This paper has been withdrawn by the author due to a crucial problem associated with Figs. 2 and 3.