Suchergebnisse - coding (algorithmics OR (algorithm OR (algorithm OR (algorithmsssics OR algorithmssssssics))))

Unveiling Code Clones in Quantum Programming: An Empirical Study with Qiskit von Manoku, Kenta, Zhao, Jianjun

Inhaltsangabe: “… Code clones, referring to identical or similar code fragments, have long posed challenges …”
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Quasi-cyclic Linear Error-Block Code-based Post-quantum Signature von Cherkaoui, I., Belabssir, S., Horgan, J., Dey, I.

Inhaltsangabe: “… Shor algorithm led to the discovery of multiple vulnerabilities in a number of cryptosystems. As a …”
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Communication-Efficient Approximate Gradient Coding for Distributed Learning in Heterogeneous Systems von Song, Heekang, Choi, Wan

Inhaltsangabe: “… We propose a communication-efficient optimally structured gradient coding scheme to jointly address …”
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Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Survey von Wang, Junqiao, Zhang, Zeng, He, Yangfan, Zhang, Zihao, Song, Xinyuan, Song, Yuyang, Shi, Tianyu, Li, Yuchen, Xu, Hengyuan, Wu, Kunyu, Yi, Xin, Wan, Zhongwei, Yuan, Xinhang, Wang, Zijun, Lu, Kuan, Huo, Menghao, Jingqun, Tang, Qian, Guangwu, Li, Keqin, Chen, Qiuwu, He, Lewei

Inhaltsangabe: “… as a pivotal technique for code generation and optimization in various domains. This paper presents a …”
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Quantum Error Mitigation via Quantum-Noise-Effect Circuit Groups von Hama, Yusuke, Nishi, Hirofumi

Inhaltsangabe: “… against quantum noise effects, namely, NISQ devices. Traditional quantum-error-correcting codes …”
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VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model von Chen, Tianyu, Li, Lin, Zhu, Liuchuan, Li, Zongyang, Liu, Xueqing, Liang, Guangtai, Wang, Qianxiang, Xie, Tao

Inhaltsangabe: “… ) and a local search algorithm. The local search algorithm is a novel postprocessing algorithm we …”
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AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI von Fan, Fanda, Luo, Chunjie, Gao, Wanling, Zhan, Jianfeng

Inhaltsangabe: “… different state-of-the-art algorithms under equivalent conditions. We employ a novel text combiner and GPT-4 …”
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Algorithm-hardware co-design for Energy-Efficient A/D conversion in ReRAM-based accelerators von Zhang, Chenguang, Yuan, Zhihang, Li, Xingchen, Sun, Guangyu

Inhaltsangabe: “… an algorithm-hardware co-design method and explore the co-design approach in both hardware design …”
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OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning von Ye, Rui, Wang, Wenhao, Chai, Jingyi, Li, Dihan, Li, Zexi, Xu, Yinda, Du, Yaxin, Wang, Yanfeng, Chen, Siheng

Inhaltsangabe: “… representative FL algorithms. Besides, OpenFedLLM supports training on diverse domains, where we cover 8 training …”
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Bayesian Learning for Double-RIS Aided ISAC Systems with Superimposed Pilots and Data von Gan, Xu, Huang, Chongwen, Yang, Zhaohui, Zhong, Caijun, Chen, Xiaoming, Zhang, Zhaoyang, Guo, Qinghua, Yuen, Chau, Debbah, Merouane

Inhaltsangabe: “… algorithm for multiple users. This algorithm employs the unitary approximate message passing in the Bayesian …”
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Fairness Without Harm: An Influence-Guided Active Sampling Approach von Pang, Jinlong, Wang, Jialu, Zhu, Zhaowei, Yao, Yuanshun, Qian, Chen, Liu, Yang

Inhaltsangabe: “… . Extensive experiments on real-world data demonstrate the effectiveness of our proposed algorithm. Our code …”
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Scalable and Interpretable Identification of Minimal Undesignable RNA Structure Motifs with Rotational Invariance von Zhou, Tianshuo, Tang, Wei Yu, Malik, Apoorv, Mathews, David H., Huang, Liang

Inhaltsangabe: “… (un-)designability, and design scalable and interpretable algorithms to identify minimal undesignable …”
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Differentially Private Synthetic Data via Foundation Model APIs 2: Text von Xie, Chulin, Lin, Zinan, Backurs, Arturs, Gopi, Sivakanth, Yu, Da, Inan, Huseyin A, Nori, Harsha, Jiang, Haotian, Zhang, Huishuai, Lee, Yin Tat, Li, Bo, Yekhanin, Sergey

Inhaltsangabe: “… Text data has become extremely valuable due to the emergence of machine learning algorithms …”
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Contrastive Learning on Multimodal Analysis of Electronic Health Records von Cai, Tianxi, Huang, Feiqing, Nakada, Ryumei, Zhang, Linjun, Zhou, Doudou

Inhaltsangabe: “… structured data like clinical codes and unstructured data such as clinical notes. However, many existing EHR …”
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Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning von Liu, Zhihao, Yang, Xianliang, Liu, Zichuan, Xia, Yifan, Jiang, Wei, Zhang, Yuanyu, Li, Lijuan, Fan, Guoliang, Song, Lei, Jiang, Bian

Inhaltsangabe: “… in the number of agents leads to a combinatorial explosion of the action space, which may result in algorithmic …”
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Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing von Zhao, Xinbo, Zhang, Yingxue, Zhang, Xin, Yang, Yu, Xie, Yiqun, Li, Yanhua, Luo, Jun

Inhaltsangabe: “… task. Moreover, MODA develops a novel model-based multi-task offline RL algorithm. This algorithm …”
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Tree Search for Language Model Agents von Koh, Jing Yu, McAleer, Stephen, Fried, Daniel, Salakhutdinov, Ruslan

Inhaltsangabe: “… this, we propose an inference-time search algorithm for LM agents to explicitly perform exploration …”
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FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification von Tian, Yu, Wen, Congcong, Shi, Min, Afzal, Muhammad Muneeb, Huang, Hao, Khan, Muhammad Osama, Luo, Yan, Fang, Yi, Wang, Mengyu

Inhaltsangabe: “… systemic study into algorithmic fairness under domain shifts, employing state-of-the-art domain adaptation …”
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PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning von Hou, Sizai, Li, Songze, Jahani-Nezhad, Tayyebeh, Caire, Giuseppe

Inhaltsangabe: “… update); and 2) partial privacy leakage for more complicated robust aggregation algorithms (e.g …”
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PlacidDreamer: Advancing Harmony in Text-to-3D Generation von Huang, Shuo, Sun, Shikun, Wang, Zixuan, Qin, Xiaoyu, Xiong, Yanmin, Zhang, Yuan, Wan, Pengfei, Zhang, Di, Jia, Jia

Inhaltsangabe: “… to refine details with score distillation algorithms. However, these methods exhibit two limitations …”
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