Synthetic image datasets offer unmatched advantages for designing and
ev...
The successful analysis of argumentative techniques from user-generated ...
Joint-embedding based learning (e.g., SimCLR, MoCo, DINO) and
reconstruc...
Self-supervised learning, dubbed the dark matter of intelligence, is a
p...
Biomedical image segmentation is one of the fastest growing fields which...
We design the phase shifts of an intelligent reflecting surface
(IRS)-as...
We consider the human-aware task planning problem where a human-robot te...
In this work, we characterize the outage probability (OP) of an intellig...
This paper addresses the challenges of delivering fine-grained Quality o...
Widely observed neural scaling laws, in which error falls off as a power...
In this work, the product of two independent and non-identically distrib...
In this paper, we present a passive method to detect face presentation a...
Most of the machine learning models have associated hyper-parameters alo...
In this paper, we propose a scheme for the joint optimization of the use...
Peer-to-peer energy management systems for smart grids require developer...
In this work, we study the outage probability (OP) at the destination of...
In this paper, approximate outage probability (OP) expressions are deriv...
Deep Learning (DL) model-based AI services are increasingly offered in a...
Services hosted in multi-tenant cloud platforms often encounter performa...
This paper summarizes the design, experiments and results of our solutio...
In recent years, the planning community has observed that techniques for...