Résultats de la recherche - coding (Algorithmssssics OR (algorithm OR (algorithm OR algorithm)))

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

Table des matières: “…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 par Cherkaoui, I., Belabssir, S., Horgan, J., Dey, I.

Table des matières: “…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 par Song, Heekang, Choi, Wan

Table des matières: “…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 par 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

Table des matières: “… 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 par Hama, Yusuke, Nishi, Hirofumi

Table des matières: “… 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 par Chen, Tianyu, Li, Lin, Zhu, Liuchuan, Li, Zongyang, Liu, Xueqing, Liang, Guangtai, Wang, Qianxiang, Xie, Tao

Table des matières: “…) 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 par Fan, Fanda, Luo, Chunjie, Gao, Wanling, Zhan, Jianfeng

Table des matières: “… 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 par Zhang, Chenguang, Yuan, Zhihang, Li, Xingchen, Sun, Guangyu

Table des matières: “… 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 par Ye, Rui, Wang, Wenhao, Chai, Jingyi, Li, Dihan, Li, Zexi, Xu, Yinda, Du, Yaxin, Wang, Yanfeng, Chen, Siheng

Table des matières: “… 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 par Gan, Xu, Huang, Chongwen, Yang, Zhaohui, Zhong, Caijun, Chen, Xiaoming, Zhang, Zhaoyang, Guo, Qinghua, Yuen, Chau, Debbah, Merouane

Table des matières: “… 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 par Pang, Jinlong, Wang, Jialu, Zhu, Zhaowei, Yao, Yuanshun, Qian, Chen, Liu, Yang

Table des matières: “…. 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 par Zhou, Tianshuo, Tang, Wei Yu, Malik, Apoorv, Mathews, David H., Huang, Liang

Table des matières: “… (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 par 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

Table des matières: “…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 par Cai, Tianxi, Huang, Feiqing, Nakada, Ryumei, Zhang, Linjun, Zhou, Doudou

Table des matières: “… 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 par Liu, Zhihao, Yang, Xianliang, Liu, Zichuan, Xia, Yifan, Jiang, Wei, Zhang, Yuanyu, Li, Lijuan, Fan, Guoliang, Song, Lei, Jiang, Bian

Table des matières: “… 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 par Zhao, Xinbo, Zhang, Yingxue, Zhang, Xin, Yang, Yu, Xie, Yiqun, Li, Yanhua, Luo, Jun

Table des matières: “… 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 par Koh, Jing Yu, McAleer, Stephen, Fried, Daniel, Salakhutdinov, Ruslan

Table des matières: “… 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 par Tian, Yu, Wen, Congcong, Shi, Min, Afzal, Muhammad Muneeb, Huang, Hao, Khan, Muhammad Osama, Luo, Yan, Fang, Yi, Wang, Mengyu

Table des matières: “… 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 par Hou, Sizai, Li, Songze, Jahani-Nezhad, Tayyebeh, Caire, Giuseppe

Table des matières: “… 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 par Huang, Shuo, Sun, Shikun, Wang, Zixuan, Qin, Xiaoyu, Xiong, Yanmin, Zhang, Yuan, Wan, Pengfei, Zhang, Di, Jia, Jia

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