The Yongle Palace murals, as valuable cultural heritage, have suffered
v...
Image restoration aims to recover the high-quality images from their deg...
The problem of two-player zero-sum Markov games has recently attracted
i...
Model editing techniques modify a minor proportion of knowledge in Large...
Contrastive Language-Image Pre-training (CLIP) has significantly boosted...
Reinforcement learning (RL) under changing environment models many real-...
The general sequential decision-making problem, which includes Markov
de...
Existing theoretical studies on offline reinforcement learning (RL) most...
We propose a novel privacy-preserving uplink over-the-air computation
(A...
In this paper, all the possibilities for the value distribution of a per...
This paper investigates conservative exploration in reinforcement learni...
Synthetic realities are digital creations or augmentations that are
cont...
This paper studies federated linear contextual bandits under the notion ...
General function approximation is a powerful tool to handle large state ...
Image restoration is the task of aiming to obtain a high-quality image f...
Subresultant is a powerful tool for developing various algorithms in com...
Most of the existing federated multi-armed bandits (FMAB) designs are ba...
Modern image retrieval methods typically rely on fine-tuning pre-trained...
Physically-based rendering (PBR) is key for immersive rendering effects ...
In this paper, we develop two variants of Bezout subresultant formulas f...
In reward-free reinforcement learning (RL), an agent explores the enviro...
Recently, many studies incorporate external knowledge into character-lev...
Vehicle re-identification is a cross-view search task by matching the sa...
This paper studies adaptive least-squares finite element methods for
con...
Graph Convolutional Networks (GCNs) have been proved successful in the f...
We consider the problem of complex root classification, i.e., finding th...
In this paper, the concept of companion subresultant for polynomials in ...
Social media has become an important data source for event analysis. Whe...
Due to its importance in facial behaviour analysis, facial action unit (...
Span-based joint extraction simultaneously conducts named entity recogni...
Let SLAut(𝔽_q^n) denote the group of all semilinear
isometries on 𝔽_q^n,...
While the primary goal of the exploration phase in reward-free reinforce...
Due to the high cost and high failure rate of Phase III trials, seamless...
Even as pre-trained language models share a semantic encoder, natural
la...
In real-world crowd counting applications, the crowd densities in an ima...
As representation learning becomes a powerful technique to reduce sample...
Existing knowledge distillation methods mostly focus on distillation of
...
In this paper, we present a cross-modal recipe retrieval framework,
Tran...
Learning discriminative deep feature embeddings by using million-scale
i...
Secret sharing was firstly proposed in 1979 by Shamir and Blakley
respec...
Catering to the proliferation of Internet of Things devices and distribu...
We propose a novel uplink communication method, coined random
orthogonal...
Nowadays, with the explosive growth of multimodal reviews on social medi...
Subresultant of two univariate polynomials is a fundamental object in
co...
Although existing face anti-spoofing (FAS) methods achieve high accuracy...
A swarm intelligence-based optimization algorithm, named Duck Swarm Algo...
Despite the significant interests and many progresses in decentralized
m...
This paper presents a novel federated linear contextual bandits model, w...
Misleading or false information has been creating chaos in some places a...
Researchers have been investigating automated solutions for fact-checkin...