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arXiv:2303.12325v3 Announce Type: replace Abstract: We study the many-to-many bipartite matching problem in the presence of preferences where ties, as well as lower quotas, may...
arXiv:2304.01664v3 Announce Type: replace Abstract: Inconsistency handling is an important issue in knowledge management. Especially in ontology engineering, logical inconsistencies may occur during ontology construction....
arXiv:2306.09445v3 Announce Type: replace Abstract: Cognitive modeling, which explores the essence of cognition, including motivation, emotion, and perception, has been widely applied in the artificial...
arXiv:2309.16680v3 Announce Type: replace Abstract: 5G New Radio (NR) Sidelink (SL) Mode 2 has enabled decentralized, infrastructure-less direct communications which is evolving to serve reliability-critical...
arXiv:2310.02195v4 Announce Type: replace Abstract: Automated guided vehicles (AGVs) are widely used in various industries, and scheduling and routing them in a conflict-free manner is...
arXiv:2311.04095v2 Announce Type: replace Abstract: We present PD-REAL, a novel large-scale dataset for unsupervised anomaly detection (AD) in the 3D domain. It is motivated by...
arXiv:2311.10605v3 Announce Type: replace Abstract: Person re-identification (re-ID) is a challenging task that aims to learn discriminative features for person retrieval. In person re-ID, Jaccard...
arXiv:2312.01049v3 Announce Type: replace Abstract: Semantic communication (SemCom) has emerged as a promising paradigm that leverages Deep Neural Networks (DNNs) to extract task-relevant information, thereby...
arXiv:2401.00121v2 Announce Type: replace Abstract: We propose a contour integral-based algorithm for computing a few singular values of a matrix or a few generalized singular...
arXiv:2402.15109v4 Announce Type: replace Abstract: Machine unlearning (MU) aims to remove the influence of specific training samples from a well-trained model, a task of growing...
arXiv:2402.17880v2 Announce Type: replace Abstract: Content moderation practices and technologies need to change over time as requirements and community expectations shift. However, attempts to restructure...
arXiv:2403.17881v5 Announce Type: replace Abstract: Deepfake is a technology dedicated to creating highly realistic facial images and videos under specific conditions, which has significant application...
arXiv:2404.00712v3 Announce Type: replace Abstract: Computerized Adaptive Testing (CAT) offers an efficient and personalized method for assessing examinee proficiency by dynamically adjusting test questions based...
arXiv:2405.14438v5 Announce Type: replace Abstract: Numerous real-world decisions rely on machine learning algorithms and require calibrated uncertainty estimates. However, modern methods often yield overconfident, uncalibrated...
arXiv:2405.15965v3 Announce Type: replace Abstract: Reported face verification accuracy has reached a plateau on current well-known test sets. As a result, some difficult test sets...
arXiv:2405.18664v3 Announce Type: replace Abstract: The challenge of delivering efficient explanations is a critical barrier that prevents the adoption of model explanations in real-world applications....
arXiv:2405.19931v2 Announce Type: replace Abstract: Few-shot fine-tuning of Diffusion Models (DMs) is a key advancement, significantly reducing training costs and enabling personalized AI applications. However,...
arXiv:2406.06189v3 Announce Type: replace Abstract: This article investigates the numerical solution of the Diffusive Wave equation posed on domains containing a large number of polygonal...
arXiv:2406.07169v2 Announce Type: replace Abstract: Human motion generation is a challenging task due to its high dimensionality and the difficulty of generating fine-grained motions. Diffusion...
arXiv:2406.12253v3 Announce Type: replace Abstract: Communication is essential for successful interaction. In human-robot interaction, implicit communication holds the potential to enhance robots' understanding of human...
arXiv:2407.18420v5 Announce Type: replace Abstract: This paper introduces a generic framework that provides sufficient conditions for guaranteeing polynomial-time decidability of fixed-negation fragments of first-order theories...
arXiv:2408.00329v2 Announce Type: replace Abstract: Deep neural networks (DNNs) are vulnerable to small adversarial perturbations of the inputs, posing a significant challenge to their reliability...
arXiv:2408.06568v2 Announce Type: replace Abstract: Background: Search-based refactoring involves searching for a sequence of refactorings to achieve specific objectives. Although a typical objective is improving...
arXiv:2408.06710v3 Announce Type: replace Abstract: Gaussian Process Latent Variable Models (GPLVMs) have become increasingly popular for unsupervised tasks such as dimensionality reduction and missing data...