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arXiv:2603.03769v1 Announce Type: new Abstract: Ultra Low Field (64 mT) brain MRI improves accessibility but suffers from reduced image quality compared to 3 T. As...
arXiv:2603.03770v1 Announce Type: new Abstract: Most large-scale recommender systems follow a multi-stage cascade of retrieval, pre-ranking, ranking, and re-ranking. A key challenge at the pre-ranking...
arXiv:2603.03772v1 Announce Type: new Abstract: AI-driven analytics are increasingly crucial to data-centric decision-making. The practice of exporting data to machine learning runtimes incurs high overhead,...
arXiv:2603.03777v1 Announce Type: new Abstract: A typical Vertical Federated Learning (VFL) scenario involves several participants collaboratively training a machine learning model, where each party has...
arXiv:2603.03778v1 Announce Type: new Abstract: We study the Inverse Contextual Bandit (ICB) problem, in which a learner seeks to optimize a policy while an observer,...
arXiv:2603.03780v1 Announce Type: new Abstract: Scientific discovery still relies heavily on the manual efforts of individual researchers, leading to limited exploration, redundant trials, and reduced...
arXiv:2603.03781v1 Announce Type: new Abstract: Long-term memory is fundamental for personalized agents capable of accumulating knowledge, reasoning over user experiences, and adapting across time. However,...
arXiv:2603.03782v1 Announce Type: new Abstract: Shared-account usage is common on streaming and e-commerce platforms, where multiple users share one account. Existing shared-account sequential recommendation (SSR)...
arXiv:2603.03784v1 Announce Type: new Abstract: World models are essential for planning and evaluation in agentic systems, yet existing approaches lie at two extremes: hand-engineered simulators...
arXiv:2603.03788v1 Announce Type: new Abstract: Small object detection under complex backgrounds remains a challenging task due to severe feature degradation, weak semantic representation, and inaccurate...
arXiv:2603.03790v1 Announce Type: new Abstract: Think about how human handles complex reading tasks: marking key points, inferring their relationships, and structuring information to guide understanding...
arXiv:2603.03792v1 Announce Type: new Abstract: Diffusion models achieve strong generative performance but remain slow at inference due to the need for repeated full-model denoising passes....
arXiv:2603.03793v1 Announce Type: new Abstract: We construct linear codes over the finite field Fq from arbitrary simplicial complexes, establishing a connection between topological properties and...
arXiv:2603.03796v1 Announce Type: new Abstract: When continual test-time adaptation (TTA) persists over the long term, errors accumulate in the model and further cause it to...
arXiv:2603.03798v1 Announce Type: new Abstract: Achieving 3D spatial awareness is crucial for surgical robotic manipulation, where precise and delicate operations are required. Existing methods either...
arXiv:2603.03800v1 Announce Type: new Abstract: Academic benchmarks for coding agents tend to reward autonomous task completion, measured by verifiable rewards such as unit-test success. In...
arXiv:2603.03802v1 Announce Type: new Abstract: Design of antenna structures for Internet of Things (IoT) applications is a challenging problem. Contemporary radiators are often subject to...
arXiv:2603.03804v1 Announce Type: new Abstract: Central Bank Digital Currency (CBDCs) are becoming a new digital financial tool aimed at financial inclusion, increased monetary stability, and...
arXiv:2603.03805v1 Announce Type: new Abstract: Relational Databases (RDBs) are the backbone of modern business, yet they lack foundation models comparable to those in text or...
arXiv:2603.03806v1 Announce Type: new Abstract: The state space model Mamba has recently emerged as a promising paradigm in computer vision, attracting significant attention due to...
arXiv:2603.03807v1 Announce Type: new Abstract: Underwater object detection constitutes a pivotal endeavor within the realms of marine surveillance and autonomous underwater systems; however, it presents...
arXiv:2603.03808v1 Announce Type: new Abstract: Dataset distillation is an emerging technique for reducing the computational and storage costs of training machine learning models by synthesizing...
arXiv:2603.03810v1 Announce Type: new Abstract: Development of modern antennas is a cognitive process that intertwines experience-driven determination of topology and tuning of its parameters to...
arXiv:2603.03811v1 Announce Type: new Abstract: Audio-Visual Speech Recognition (AVSR) integrates acoustic and visual information to enhance robustness in adverse acoustic conditions. Recent advances in Large...