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Showing 416704 results for "machine learning"
AI & Data Science Preprint PDF DOI

Decoupled Prototype Matching with Vision Foundation Models for Few-Shot Industrial Object Detection

Hari Prasanth S. M., Nilusha Jayawickrama, Risto Ojala ยท 2026

Industrial object detection systems typically rely on large annotated datasets, which are expensive to collect and challenging to maintain in industrial scenarios where the inventory of objects changeโ€ฆ

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Physics Preprint PDF DOI

The Phenomenological Classification of TESS Eclipsing Binaries

Shi-Qi Liu, Kai Li, Xiao-Dian Chen, Li-Heng Wang ยท 2026

Eclipsing binaries are crucial astrophysical laboratories for studying stellar parameters and evolutionary processes. In this study, we constructed a machine-learning-based model for systematic phenomโ€ฆ

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Computer Science Preprint PDF DOI

Multi-Server Secure Aggregation with Arbitrary Collusion and Heterogeneous Security Constraints

Zhou Li, Xiang Zhang, Jiguang He, Giuseppe Caire ยท 2026

We study the fundamental limits of multi-server secure aggregation over a two-hop network where multiple servers, each connected to a disjoint subset of users, jointly compute the sum of all users' inโ€ฆ

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Computer Science Preprint PDF DOI

Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations

Peter Mullner, Dominik Kowald, Markus Schedl, Elisabeth Lex ยท 2026

Balancing differential privacy (DP) with recommendation accuracy is a key challenge in privacy-preserving recommender systems, since DP-noise degrades accuracy. We address this trade-off at both the dโ€ฆ

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Computer Science Preprint PDF DOI

SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning

Yimeng Shan, Zhaorui Zhang, Sheng Di, Yu Liu, Xiaoyi Lu, Benben Liu ยท 2026

Federated Split Learning has been identified as an efficient approach to address the computational resource constraints of clients in classical federated learning, while guaranteeing data privacy for โ€ฆ

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AI & Data Science Preprint PDF DOI

A Multimodal Pre-trained Network for Integrated EEG-Video Seizure Detection

Tong Lu, Ke Xu, Zimo Zhang, Zitong Zhao, Danwei Weng, Ruiyu Wang, Miao Liu, Zizuo Zhang, Jingyi Yao, Yixuan Zhao, Wenchao Zhang, Min Wang, Guoming Luan, Minmin Luo, Zhifeng Yue ยท 2026

Reliable seizure detection in mouse models is essential for preclinical epilepsy research, yet manual review of synchronized video-EEG recordings is labor-intensive and single-modality systems fail foโ€ฆ

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AI & Data Science Preprint PDF DOI

Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning

Junwon You, Mihyun Jang, Sangwoo Mo, Jae-Hun Jung ยท 2026

Vision-language models have shown strong performance, but they often generalize poorly to specialized domains. While semi-supervised vision-language learning mitigates this limitation by leveraging a โ€ฆ

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Physics Preprint PDF DOI

A Category-Theoretic Framework from Biological Mechanics to Engineered Stimulus-Response Systems

Lee Marom, Skylar Tibbits, Gioele Zardini, Markus J. Buehler ยท 2026

Natural materials achieve adaptive behavior through hierarchical organization and coupled mechanisms across scales. Their translation into engineering, however, remains largely heuristic. What is missโ€ฆ

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AI & Data Science Preprint PDF DOI

Probabilistic data quality assessment for structural monitoring data via outlier-resistant conditional diffusion model

Qi Li, Yong Huang, Hui Li ยท 2026

Data quality assessment is an essential step that ensures the reliability of the subsequent structural health monitoring (SHM) tasks. This study proposes a prediction deviation-based SHM data quality โ€ฆ

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AI & Data Science Preprint PDF DOI

Beyond Fixed Formulas: Data-Driven Linear Predictor for Efficient Diffusion Models

Zhirong Shen, Rui Huang, Jiacheng Liu, Chang Zou, Peiliang Cai, Shikang Zheng, Zhengyi Shi, Liang Feng, Linfeng Zhang ยท 2026

To address the high sampling cost of Diffusion Transformers (DiTs), feature caching offers a training-free acceleration method. However, existing methods rely on hand-crafted forecasting formulas thatโ€ฆ

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AI & Data Science Preprint PDF DOI

CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID

Fengchun Zhang, Qiang Ma, Liuyu Xiang, Jinshan Lai, Tingxuan Huang, Jianwei Hu ยท 2026

Federated domain generalization for person re-identification (FedDG-ReID) aims to collaboratively train a pedestrian retrieval model across multiple decentralized source domains such that it can generโ€ฆ

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Physics Preprint PDF DOI

Molecular Dynamics simulations of Al-Ti metallic alloy melts using a transferable machine-learning potential

Yuna Kato, Jurgen Brillo, Dirk Holland-Moritz, Fan Yang, Thomas C. Hansen, Thomas Voigtmann, Linnea Heitmeier ยท 2026

We investigate the structural and dynamical properties of binary aluminum-titanium liquid metallic alloys, as a function of temperature and composition. We make use of MD-simulations, using a transferโ€ฆ

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AI & Data Science Preprint PDF DOI

Text Style Transfer with Machine Translation for Graphic Designs

Deergh Singh Budhauria, Sanyam Jain, Rishav Agarwal, Tracy King ยท 2026

Globalization of graphic designs such as those used in marketing materials and magazines is increasingly important for communication to broad audiences. To accomplish this, the textual content in the โ€ฆ

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AI & Data Science Preprint PDF DOI

Uncertainty-Aware Reward Discounting for Mitigating Reward Hacking

Disha Singha ยท 2026

Reinforcement learning (RL) systems typically optimize scalar reward functions that assume precise and reliable evaluation of outcomes. However, real-world objectives--especially those derived from huโ€ฆ

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Computer Science Preprint PDF DOI

PiLLar: Matching for Pivot Table Schema via LLM-guided Monte-Carlo Tree Search

Yunjun Gao, Chuangyu Ouyang, Congcong Ge, Yifan Zhu ยท 2026

Pivot tables are ubiquitous in data lakes of modern data ecosystems, making accurate schema matching over pivot tables a key prerequisite for data integration. In this paper, we focus on matching for โ€ฆ

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Computer Science Preprint PDF DOI

Asymptotically Robust Learning-Augmented Algorithms for Preemptive FIFO Buffer Management

Wen-Han Hsieh, Ya-Chun Liang ยท 2026

We present a learning-augmented online algorithm for the preemptive FIFO buffer management problem, where packets arrive online to a finite-capacity buffer, must be transmitted in FIFO order, and the โ€ฆ

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Computer Science Preprint PDF DOI

On the Capacity of Hierarchical Secure Aggregation with Groupwise Keys

Minyang Lu, Zhou Li, Haiqiang Chen, Min Xie ยท 2026

We study the hierarchical secure aggregation problem with groupwise keys. The problem consists of an aggregation server, $U$ relays, and $UV$ users, where each relay serves $V$ disjoint users, and eacโ€ฆ

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Computer Science Preprint PDF DOI

Can Cross-Layer Design Bridge Security and Efficiency? A Robust Authentication Framework for Healthcare Information Exchange Systems

Khalid M. Ezzat, Muhammad El-Saba, Mahmoud A. Shawky ยท 2026

As healthcare systems become increasingly interconnected, ensuring secure and continuous device authentication in health information exchange (HIE) networks is critical to safeguarding patient data anโ€ฆ

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Computer Science Preprint PDF DOI

Distributional Learning of Graph Languages Generated by Fixed-Interface Clause Systems

Takayoshi Shoudai, Satoshi Matsumoto, Yusuke Suzuki, Tomoyuki Uchida ยท 2026

Distributional learning provides a framework for studying the learnability of structured languages from positive data. In this paper, we extend this framework to graph languages generated by fixed-intโ€ฆ

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Engineering Preprint PDF DOI

Optimizing Tracking Accuracy in Energy-Constrained Multimodal ISAC via Lyapunov-Driven Heterogeneous Mixture-of-Experts

Wenqi Fan, Ning Wei, Ahmad Bazzi, Rongyan Xi, Zhixian Song, You Li, Zhihan Zeng, Yue Xiu, Chadi Assi ยท 2026

The integration of multimodal sensing and millimeter-wave (mmWave) communications is a key enabler for highly mobile vehicle-to-infrastructure (V2I) networks. However, continuous high-resolution visuaโ€ฆ

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