Risultati della ricerca - (endedededededecoding OR (endededecoding OR (coding OR Decoding))) (algorithm OR algorithmics)

A Physical Layer Security Framework for IRS-Assisted Integrated Sensing and Semantic Communication Systems di Amiriara, Hamid, Mirmohseni, Mahtab, Elzanaty, Ahmed, Ma, Yi, Tafazolli, Rahim

Sommario: “... joint artificial noise (AN) and dedicated sensing signal (DSS), in addition to wiretap coding...”
Testo

Natural Language Induced Adversarial Images di Zhu, Xiaopei, Xu, Peiyang, Zeng, Guanning, Dong, Yingpeng, Hu, Xiaolin

Sommario: “... an adaptive genetic algorithm (GA) for optimizing discrete adversarial prompts without requiring gradients...”
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Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models di Li, Boheng, Wei, Yanhao, Fu, Yankai, Wang, Zhenting, Li, Yiming, Zhang, Jie, Wang, Run, Zhang, Tianwei

Sommario: “..., and learning algorithms. SIREN is also effective in various real-world scenarios and evaluated against...”
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Ada-K Routing: Boosting the Efficiency of MoE-based LLMs di Yue, Tongtian, Guo, Longteng, Cheng, Jie, Gao, Xuange, Liu, Jing

Sommario: “... Optimization (PPO) algorithm to facilitate an end-to-end learning process for this non-differentiable decision...”
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Denial-of-Service Poisoning Attacks against Large Language Models di Gao, Kuofeng, Pang, Tianyu, Du, Chao, Yang, Yong, Xia, Shu-Tao, Lin, Min

Sommario: “..., where attackers can control both the finetuning dataset and algorithm. Our findings underscore...”
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DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation di Zhu, Meilu, Mao, Axiu, Liu, Jun, Yuan, Yixuan

Sommario: “... on the theoretical insight, a deviation eliminator is designed to utilize alternating minimization algorithm...”
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Self-Satisfied: An end-to-end framework for SAT generation and prediction di Serrano, Christopher R., Gallagher, Jonathan, Yamada, Kenji, Kopylov, Alexei, Warren, Michael A.

Sommario: “...-problems can be coded as SAT problems and therefore SAT is important both practically and theoretically...”
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Language-guided Hierarchical Fine-grained Image Forgery Detection and Localization di Guo, Xiao, Liu, Xiaohong, Masi, Iacopo, Liu, Xiaoming

Sommario: “.... As a result, the algorithm is encouraged to learn both comprehensive features and the inherent...”
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FlexiGen: Stochastic Dataset Generator for Electric Vehicle Charging Energy Flexibility di Cabral, Bernardo, Fonseca, Tiago, Sousa, Clarisse, Ferreira, Luis Lino

Sommario: “... generation. To reach such advantages, optimization algorithms need data on EV energy flexibility...”
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Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models di Zhang, Yusen, Das, Sarkar Snigdha Sarathi, Zhang, Rui

Sommario: “... effective cascade algorithm that replaces the verbose responses with the other model-generated responses...”
Testo

Feasibly Constructive Proof of Schwartz-Zippel Lemma and the Complexity of Finding Hitting Sets di Atserias, Albert, Tzameret, Iddo

Sommario: “... of the field. This fundamental fact about multivariate polynomials has found many applications in algorithms...”
Testo

TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding di Pham, Quang P. M., Nguyen, Khoi T. N., Ngo, Lan C., Do, Truong, Song, Dezhen, Hy, Truong-Son

Sommario: “... using an approximate graph-matching algorithm. Our combined architecture TESGNN shown to be effective...”
Testo

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction di Xu, Xiang, Wang, Hao, Guo, Wei, Zhang, Luankang, Yang, Wanshan, Yu, Runlong, Liu, Yong, Lian, Defu, Chen, Enhong

Sommario: “... prediction. Current long-term user behavior modeling algorithms predominantly follow two cascading stages...”
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2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification di Zhang, Jingwei, Nguyen, Anh Tien, Han, Xi, Trinh, Vincent Quoc-Huy, Qin, Hong, Samaras, Dimitris, Hosseini, Mahdi S.

Sommario: “... prohibitively slow computation due to the lack of efficient parallel algorithms. In this work, we propose 2...”
Testo

Unveiling Concept Attribution in Diffusion Models di Nguyen, Quang H., Phan, Hoang, Doan, Khoa D.

Sommario: “... introduce two fast, inference-time model editing algorithms, CAD-Erase and CAD-Amplify; in particular, CAD...”
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DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection di Chen, Yishuo, Wang, Boran, Guo, Xinyu, Zhu, Wenbin, He, Jiasheng, Liu, Xiaobin, Yuan, Jing

Sommario: “... algorithms by a clear margin. Our code is available at https://github.com/chips96/DEYOLO. ...”
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DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services di Lin, Youfang, Fu, Jinji, Wen, Haomin, Wang, Jiyuan, Wei, Zhenjie, Qiang, Yuting, Mao, Xiaowei, Wu, Lixia, Hu, Haoyuan, Liang, Yuxuan, Wan, Huaiyu

Sommario: “.... Traditional AOI segmentation algorithms primarily rely on road networks to partition urban areas. While...”
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Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation di Vukadin, Davor, Afrić, Petar, Šilić, Marin, Delač, Goran

Sommario: “..., researchers proposed many algorithms to aid neural network understanding and provide additional information...”
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ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation di Huang, Shiqi, He, Shuting, Wen, Bihan

Sommario: “...Instance segmentation algorithms in remote sensing are typically based on conventional methods...”
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Using matrix-product states for time-series machine learning di Moore, Joshua B., Stackhouse, Hugo P., Fulcher, Ben D., Mahmoodian, Sahand

Sommario: “... an MPS-based algorithm, MPSTime, for learning a joint probability distribution underlying an observed...”
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