Deep learning-based recommender systems (DRSs) are increasingly and wide...
Despite of the superb performance on a wide range of tasks, pre-trained
...
Detection of object anomalies is crucial in industrial processes, but
un...
Deep learning models exhibit a preference for statistical fitting over
l...
Punctuation restoration is an important post-processing step in automati...
We study the query-based attack against image retrieval to evaluate its
...
Despite that deep neural networks (DNNs) have achieved enormous success ...
This paper is dedicated to solve high-dimensional coupled FBSDEs with
no...
Domain adaptation aims to generalize a model from a source domain to tac...
Semantic tagging, which has extensive applications in text mining, predi...
We present ExplainIt, a review summarization system centered around opin...
In response to the coronavirus disease (COVID-19) outbreak, there is an
...
The delivery of a framework in place for secure application development ...
We present Ditto, a novel entity matching system based on pre-trained
Tr...
A novel social networks sentiment analysis model is proposed based on Tw...
Detecting the semantic types of data columns in relational tables is
imp...
We describe Voyageur, which is an application of experiential search to ...
Online users are constantly seeking experiences, such as a hotel with cl...
Return-Oriented Programming (ROP) is a typical attack technique that can...
Despite their immense popularity, deep learning-based acoustic systems a...
Deep Learning-based Text Understanding (DLTU) is the backbone technique
...
Neyshabur and Srebro proposed Simple-LSH, which is the state-of-the-art
...