Quantum computing presents a promising approach for machine learning wit...
The goal of document-grounded dialogue (DocGD) is to generate a response...
Security has always been a critical issue in machine learning (ML)
appli...
Real-life tools for decision-making in many critical domains are based o...
Text-to-SQL parsing is an essential and challenging task. The goal of
te...
Deep-learning (DL) compilers such as TVM and TensorRT are increasingly u...
An autonomous Artificial Internet of Things (AIoT) system for elderly
de...
We develop a new, principled algorithm for estimating the contribution o...
Concurrency control algorithms are key determinants of the performance o...
Graph neural networks (GNNs) are a popular class of parametric model for...
The paper presents an efficient real-time scheduling algorithm for
intel...
State-of-the-art video action recognition models with complex network
ar...
Modern online media, such as Twitter, Instagram, and YouTube, enable any...
Much work on social media opinion polarization focuses on identifying
se...
In recent years, Raft has overtaken Paxos as the consensus algorithm of
...
Recent advances in deep learning motivate the use of deep neural network...
There is a trend towards using very large deep neural networks (DNN) to
...
Deep learning systems have become vital tools across many fields, but th...