Suchergebnisse - decoding (Algorithmsssic OR algorithm)

  1. 1061

    Average Probability of Error for Single Uniprior Index Coding over Rayleigh Fading Channel von Mahesh, Anjana A, Rajput, Charul, Rupa, Bobbadi, Rajan, B. Sundar

    Veröffentlicht 2023
    Inhaltsangabe: “… of transmissions used for decoding the message requests at all the receivers. An algorithm that generates a …”
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  2. 1062

    Efficient Contextformer: Spatio-Channel Window Attention for Fast Context Modeling in Learned Image Compression von Koyuncu, A. Burakhan, Jia, Panqi, Boev, Atanas, Alshina, Elena, Steinbach, Eckehard

    Veröffentlicht 2023
    Inhaltsangabe: “… designs and introduce additional complexity optimizations. During decoding, the proposed optimization …”
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  3. 1063

    ResWCAE: Biometric Pattern Image Denoising Using Residual Wavelet-Conditioned Autoencoder von Liang, Youzhi, Liang, Wen

    Veröffentlicht 2023
    Inhaltsangabe: “… algorithms designed for generic image denoising have shown promise, their large number of parameters and lack …”
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  4. 1064

    NU-Class Net: A Novel Approach for Video Quality Enhancement von Moghaddam, Parham Zilouchian, Modarressi, Mehdi, Sadeghi, Mohammad Amin

    Veröffentlicht 2024
    Inhaltsangabe: “… , video compression algorithms entail significant computational demands in order to achieve substantial …”
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  5. 1065

    Parameter-Efficient Detoxification with Contrastive Decoding von Niu, Tong, Xiong, Caiming, Yavuz, Semih, Zhou, Yingbo

    Veröffentlicht 2024
    Inhaltsangabe: “… . In this work, we introduce Detoxification Generator (DETOXIGEN), an inference-time algorithm that steers …”
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  6. 1066

    Deep Reinforcement Learning for Multi-Truck Vehicle Routing Problems with Multi-Leg Demand Routes von Levin, Joshua, Correll, Randall, Ide, Takanori, Suzuki, Takafumi, Saito, Takaho, Arai, Alan

    Veröffentlicht 2024
    Inhaltsangabe: “… to some vehicle routing problems (VRPs), especially when using policies generated by encoder-decoder …”
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  7. 1067

    Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation von Fan, Yuankai, He, Zhenying, Ren, Tonghui, Huang, Can, Jing, Yinan, Zhang, Kai, Wang, X. Sean

    Veröffentlicht 2024
    Inhaltsangabe: “… sequence-to-sequence models or large-scale language models, typically employ auto-regressive decoding …”
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  8. 1068

    Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks von Zou, Yiwei, Li, Ting, Luo, Zong-fu

    Veröffentlicht 2024
    Inhaltsangabe: “… to their high time complexity. To mitigate these computational challenges, numerous approximation algorithms …”
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  9. 1069

    Deep Neural Crossover von Shem-Tov, Eliad, Elyasaf, Achiya

    Veröffentlicht 2024
    Inhaltsangabe: “… We present a novel multi-parent crossover operator in genetic algorithms (GAs) called ``Deep Neural …”
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  10. 1070

    ReALLM: A general framework for LLM compression and fine-tuning von Leconte, Louis, Bedin, Lisa, Nguyen, Van Minh, Moulines, Eric

    Veröffentlicht 2024
    Inhaltsangabe: “… and a single forward pass with the decoder. Our weight-only quantization algorithm yields the best …”
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  11. 1071

    Tele-Aloha: A Low-budget and High-authenticity Telepresence System Using Sparse RGB Cameras von Tu, Hanzhang, Shao, Ruizhi, Dong, Xue, Zheng, Shunyuan, Zhang, Hao, Chen, Lili, Wang, Meili, Li, Wenyu, Ma, Siyan, Zhang, Shengping, Zhou, Boyao, Liu, Yebin

    Veröffentlicht 2024
    Inhaltsangabe: “… communication. As the core of Tele-Aloha, we propose an efficient novel view synthesis algorithm for upper-body …”
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  12. 1072

    Fair Computation Offloading for RSMA-Assisted Mobile Edge Computing Networks von Xu, Ding, Duan, Lingjie, Zhao, Haitao, Zhu, Hongbo

    Veröffentlicht 2024
    Inhaltsangabe: “… develop an efficient algorithm to obtain a suboptimal solution. Particularly, the time allocation …”
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  13. 1073

    Knowledge Fusion By Evolving Weights of Language Models von Du, Guodong, Li, Jing, Liu, Hanting, Jiang, Runhua, Yu, Shuyang, Guo, Yifei, Goh, Sim Kuan, Tang, Ho-Kin

    Veröffentlicht 2024
    Inhaltsangabe: “… by evolutionary algorithms, which does not need further training or additional training data. Specifically, our …”
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  14. 1074

    Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space von Li, Shuangliang, Li, Siwei

    Veröffentlicht 2024
    Inhaltsangabe: “… large number of weather variables. Therefore, we propose an 'encoding-prediction-decoding' prediction …”
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  15. 1075

    Multi-User SR-LDPC Codes von Ebert, Jamison R., Chamberland, Jean-Francois, Narayanan, Krishna R.

    Veröffentlicht 2024
    Inhaltsangabe: “… the sent information, the decoder jointly processes the received signals using a low-complexity and highly …”
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  16. 1076

    RIS-Aided Unsourced Multiple Access (RISUMA): Coding Strategy and Performance Limits von Ahmadi, Mohammad Javad, Kazemi, Mohammad, Duman, Tolga M.

    Veröffentlicht 2024
    Inhaltsangabe: “… and a randomly spread polar codeword. The proposed decoder operates in two phases. In the first phase …”
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  17. 1077

    FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments von Liu, Fang, Liu, Zhenwei, Zhao, Qianhui, Jiang, Jing, Zhang, Li, Li, Ge, Sun, Zian, Li, Zhongqi, Ma, Yuchi

    Veröffentlicht 2024
    Inhaltsangabe: “… remarkable inference speedup of 16.67 times compared to the autoregressive decoding algorithm.  …”
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  18. 1078

    Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces von Wang, Ziwei, Li, Siyang, Luo, Jingwei, Liu, Jiajing, Wu, Dongrui

    Veröffentlicht 2024
    Inhaltsangabe: “… ) using different decoding algorithms demonstrated that: 1) CR is effective, i.e., it can noticeably …”
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  19. 1079

    URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction von Song, Jie, Sun, Yue, Cai, Ziyun, Xiao, Liang, Huang, Yawen, Zheng, Yefeng

    Veröffentlicht 2024
    Inhaltsangabe: “… The challenges of road network segmentation demand an algorithm capable of adapting to the sparse …”
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  20. 1080

    Deep Learning in Wireless Communication Receiver: A Survey von Doha, Shadman Rahman, Abdelhadi, Ahmed

    Veröffentlicht 2025
    Inhaltsangabe: “… receivers depend on mathematical models and algorithms, which do not have the ability to adapt or learn from …”
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