In this paper, we consider improving the efficiency of information-based...
Federated Learning (FL) has emerged to allow multiple clients to
collabo...
Network experiments are essential to network-related scientific research...
Distributed deep learning (DDL) is a promising research area, which aims...
The weight-sharing mechanism of convolutional kernels ensures
translatio...
Humans often make creative use of words to express novel senses. A
long-...
Moral norms vary across cultures. A recent line of work suggests that En...
Measuring the distance between machine-produced and human language is a
...
Distributed Machine Learning (DML) systems are utilized to enhance the s...
Research on residential segregation has been active since the 1950s and
...
Racialized economic segregation, a key metric that simultaneously accoun...
The quality of the data in a dataset can have a substantial impact on th...
AI-Generated Content (AIGC) has recently gained a surge in popularity,
p...
This study takes advantage of recent advances in machine learning to
est...
This paper concerns realizing highly efficient information-theoretic rob...
Off-policy evaluation (OPE) is a method for estimating the return of a t...
Off-Policy evaluation (OPE) is concerned with evaluating a new target po...
Federated learning (FL) allows multiple clients cooperatively train mode...
Federated learning (FL) is a promising approach to enable the future Int...
Data generated at the network edge can be processed locally by leveragin...
Automatic keyword extraction (AKE) has gained more importance with the
i...
This paper proposes a Rotation-equivariant Attention Feature Fusion Pyra...
The meaning of a slang term can vary in different communities. However, ...
With so many articles of varying quality being produced at every moment,...
Languages vary considerably in syntactic structure. About 40
languages h...
After a developer submits code, corresponding test cases arise to ensure...
Pre-trained language models learn large amounts of knowledge from their
...
Humans can flexibly extend word usages across different grammatical clas...
Slang is a predominant form of informal language making flexible and ext...
Image Captioning (IC) has achieved astonishing developments by incorpora...
Combinatorial optimization is a well-established area in operations rese...
In lexicalist linguistic theories, argument structure is assumed to be
p...
This paper mainly studies the information-theoretic exploration in an
en...
As an important task for the management of bike sharing systems, accurat...
Contextualized word embeddings have demonstrated state-of-the-art perfor...
For R≜ Mat_m(𝔽), the ring of all the m× m
matrices over the finite field...
Let 𝐇 be the cartesian product of a family of abelian groups
indexed by ...
The Machine Learning for Combinatorial Optimization (ML4CO) NeurIPS 2021...
In the field of deep-sea exploration, sonar is presently the only effici...
This paper presents a hierarchical framework to solve the multi-robot
te...
The curse of dimensionality has been studied in different aspects. Howev...
Natural language relies on a finite lexicon to express an unbounded set ...
Morality plays an important role in social well-being, but people's mora...
Humans possess the unique ability to communicate emotions through langua...
Let 𝐇 be the cartesian product of a family of finite abelian
groups inde...
As the numbers of submissions to conferences grow quickly, the task of
a...
Forecasting stock returns is a challenging problem due to the highly
sto...
Imaging sonars have shown better flexibility than optical cameras in
und...
Recently deep neural networks (DNNs) have achieved tremendous success fo...
The use of euphemisms is a known driver of language change. It has been
...