Suchergebnisse - coding ((algorithmics OR (Algorithmsssic OR algorithmsssic)) OR (algorithm OR algorithmics))

  1. 2041

    MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities von Dong, Hao, Zhao, Yue, Chatzi, Eleni, Fink, Olga

    Veröffentlicht 2024
    Inhaltsangabe: “… detection algorithms by a large margin. Our source code and MultiOOD benchmark are available at https …”
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  2. 2042

    Tleco: A Toolkit for Modeling Radiative Signatures from Relativistic Outflows von Davis, Zachary, Rueda-Becerril, Jesús M., Giannios, Dimitrios

    Veröffentlicht 2024
    Inhaltsangabe: “… programming language and wrapped into a Python library, \texttt{Tleco} offers efficient algorithms …”
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  3. 2043

    Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback von Ivison, Hamish, Wang, Yizhong, Liu, Jiacheng, Wu, Zeqiu, Pyatkin, Valentina, Lambert, Nathan, Smith, Noah A., Choi, Yejin, Hajishirzi, Hannaneh

    Veröffentlicht 2024
    Inhaltsangabe: “… -based learning is applied varies wildly, with differing data, learning algorithms, and evaluations used …”
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  4. 2044

    Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning von Gan, Kai, Wei, Tong, Zhang, Min-Ling

    Veröffentlicht 2024
    Inhaltsangabe: “… -world classification tasks, existing LTSSL algorithms typically assume that labeled and unlabeled data …”
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  5. 2045

    Residual-MPPI: Online Policy Customization for Continuous Control von Wang, Pengcheng, Li, Chenran, Weaver, Catherine, Kawamoto, Kenta, Tomizuka, Masayoshi, Tang, Chen, Zhan, Wei

    Veröffentlicht 2024
    Inhaltsangabe: “… and access to the original training metrics and parameters. In contrast, an online planning algorithm …”
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  6. 2046

    SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP Environments von Ishida, Shu, Henriques, João F.

    Veröffentlicht 2024
    Inhaltsangabe: “… This work compares ways of extending Reinforcement Learning algorithms to Partially Observed Markov …”
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  7. 2047

    Accelerating Spectral Clustering on Quantum and Analog Platforms von Xu, Xingzi, Sahai, Tuhin

    Veröffentlicht 2024
    Inhaltsangabe: “… We introduce a novel hybrid quantum-analog algorithm to perform graph clustering that exploits …”
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  8. 2048

    Behavior Pattern Mining-based Multi-Behavior Recommendation von Li, Haojie, Cheng, Zhiyong, Yu, Xu, Liu, Jinhuan, Liu, Guanfeng, Du, Junwei

    Veröffentlicht 2024
    Inhaltsangabe: “… algorithms, showing an average improvement of 268.29% in Recall@10 and 248.02% in NDCG@10 metrics. The code …”
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  9. 2049

    Simultaneous Sensing Data Acquisition and Sharing in Low-Altitude Wireless Networks: Fundamental Limits and Optimal Signaling von Dong, Fuwang, Liu, Fan, Xiong, Yifeng, Cui, Yuanhao, Wang, Wei, Jin, Shi

    Veröffentlicht 2024
    Inhaltsangabe: “… for the SDAS systems. The proposed MSST elucidates the relationship between achievable distortion, coding rate …”
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  10. 2050

    FedModule: A Modular Federated Learning Framework von Chen, Chuyi, Zhang, Zhe, Zhao, Yanchao

    Veröffentlicht 2024
    Inhaltsangabe: “… benchmarks for complex experimental scenarios. FedModule adheres to the "one code, all scenarios" principle …”
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  11. 2051

    Tracking Everything in Robotic-Assisted Surgery von Zhan, Bohan, Zhao, Wang, Fang, Yi, Du, Bo, Vasconcelos, Francisco, Stoyanov, Danail, Elson, Daniel S., Huang, Baoru

    Veröffentlicht 2024
    Inhaltsangabe: “… (TAP) algorithm was proposed to overcome these limitations and achieve dense accurate long-term …”
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  12. 2052

    CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Dataset von Wang, Xiao, Wang, Fuling, Li, Yuehang, Ma, Qingchuan, Wang, Shiao, Jiang, Bo, Li, Chuanfu, Tang, Jin

    Veröffentlicht 2024
    Inhaltsangabe: “… , the recently released CheXpert Plus dataset lacks comparative evaluation algorithms and their results …”
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  13. 2053

    Estimating Exoplanet Mass using Machine Learning on Incomplete Datasets von Lalande, Florian, Tasker, Elizabeth, Doya, Kenji

    Veröffentlicht 2024
    Inhaltsangabe: “… machine learning algorithms that can utilize multidimensional incomplete datasets to estimate missing …”
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  14. 2054

    MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging von Pan, Zhenghao, Zeng, Haijin, Cao, Jiezhang, Chen, Yongyong, Zhang, Kai, Xu, Yong

    Veröffentlicht 2024
    Inhaltsangabe: “… algorithms are designed based on the traditional Bayer pattern. When applied to videos captured by quad-Bayer …”
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  15. 2055

    EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting von Jiang, Zekun, Dai, Wei, Wei, Qu, Qin, Ziyuan, Li, Kang, Zhang, Le

    Veröffentlicht 2024
    Inhaltsangabe: “… such as epilepsy. Currently, various EEG diagnostic algorithms based on deep learning have been developed. However …”
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  16. 2056

    CovFUZZ: Coverage-based fuzzer for 4G&5G protocols von Siroš, Ilja, Singelée, Dave, Preneel, Bart

    Veröffentlicht 2024
    Inhaltsangabe: “… layers except the physical layer. To guide the fuzzing process, we introduce a novel algorithm …”
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  17. 2057

    GS2Pose: Two-stage 6D Object Pose Estimation Guided by Gaussian Splatting von Mei, Jilan, Li, Junbo, Meng, Cai

    Veröffentlicht 2024
    Inhaltsangabe: “… with similar algorithms, yielding highly competitive results. The code for GS2Pose will soon be released …”
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  18. 2058
  19. 2059

    A Framework for Fractional Matrix Programming Problems with Applications in FBL MU-MIMO von Soleymani, Mohammad, Jorswieck, Eduard, Schober, Robert, Hanzo, Lajos

    Veröffentlicht 2025
    Inhaltsangabe: “… Dinkelbach-based algorithms. Specifically, the generalized Dinkelbach algorithm can only solve multiple-ratio …”
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  20. 2060

    CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspective von Feng, Yuan, Lv, Junlin, Guo, Haoyu, Cao, Yukun, Zhou, S Kevin, Xie, Xike

    Veröffentlicht 2025
    Inhaltsangabe: “… perturbation-constrained selection algorithm that optimizes the worst-case output perturbation to identify …”
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