Suchergebnisse - decoding (algorithm OR Algorithmssssic)

  1. 1561

    Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning von Udsa, Tinnakit, Udomcharoenchaikit, Can, Payoungkhamdee, Patomporn, Nutanong, Sarana, Rattanavipanon, Norrathep

    Veröffentlicht 2025
    Inhaltsangabe: “… decoding strategies, prefix length, and FL algorithms. Our findings reveal that FL models do memorize …”
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  2. 1562

    Inverse Design of Metasurface for Spectral Imaging von Chen, Rongzhou, Nie, Haitao, Zhu, Shuo, Zhao, Yaping, Wang, Chutian, Lam, Edmund Y.

    Veröffentlicht 2025
    Inhaltsangabe: “… Inverse design of metasurfaces for the joint optimization of optical modulation and algorithmic …”
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  3. 1563

    Generalization or Memorization: Dynamic Decoding for Mode Steering von Zhang, Xuanming

    Veröffentlicht 2025
    Inhaltsangabe: “… Steering (DMS), a novel inference-time algorithm which comprises two components: (1) a lightweight …”
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  4. 1564

    Deep Reinforcement Learning-Based Cooperative Rate Splitting for Satellite-to-Underground Communication Networks von Lin, Kaiqiang, Zhao, Kangchun, Mao, Yijie

    Veröffentlicht 2025
    Inhaltsangabe: “… an aboveground relay decodes and forwards the common stream to underground devices (UDs). Based on this framework …”
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  5. 1565

    Speculative Decoding Speed-of-Light: Optimal Lower Bounds via Branching Random Walks von Pankratov, Sergey, Alistarh, Dan

    Veröffentlicht 2025
    Inhaltsangabe: “… ``tight'' lower bounds on the runtime of any deterministic speculative generation algorithm …”
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  6. 1566

    Multi-Modal Semantic Communication von Mortaheb, Matin, Karakaya, Erciyes, Ulukus, Sennur

    Veröffentlicht 2025
    Inhaltsangabe: “… channel bandwidth, we use an algorithm to transmit image patches at adaptive resolutions using …”
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  7. 1567

    Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction von Kim, Jang-Hyun, Han, Dongyoon, Yun, Sangdoo

    Veröffentlicht 2026
    Inhaltsangabe: “… seamlessly into both the prefill and decoding stages. The proposed gate training algorithm relies on forward …”
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  8. 1568

    CoLT: Reasoning with Chain of Latent Tool Calls von Zhu, Fangwei, Sui, Zhifang

    Veröffentlicht 2026
    Inhaltsangabe: “… length than baseline latent models, and is compatible with reinforcement learning algorithms …”
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  9. 1569

    Hypernetwork-based approach for grid-independent functional data clustering von Thatipelli, Anirudh, Siahkoohi, Ali

    Veröffentlicht 2026
    Inhaltsangabe: “… neural representation (INR), which serves as the decoder. Because INRs represent functions with very few …”
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  10. 1570

    Weighted Unequal Error Protection over a Rayleigh Fading Channel von Mahmood, Adeel

    Veröffentlicht 2026
    Inhaltsangabe: “… decoding success probabilities. The channel model is quasi-static Rayleigh fading with channel state …”
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  11. 1571

    Towards Patient-Specific Deformable Registration in Laparoscopic Surgery von Neri, Alberto, Penza, Veronica, Haouchine, Nazim, Mattos, Leonardo S.

    Veröffentlicht 2026
    Inhaltsangabe: “… . Our approach combines a Transformer encoder-decoder architecture with overlap estimation and a …”
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  12. 1572

    Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications von Li, Jinbao, An, Jiancheng, Liu, Hao, Gan, Lu, Leung, Victor C. M., Bennis, Mehdi, Debbah, Mérouane

    Veröffentlicht 2026
    Inhaltsangabe: “… domain, and the GRS performs decoding based on the received power distribution. Moreover, we employ a …”
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  13. 1573

    Fitting Is Not Enough: Smoothness in Extremely Quantized LLMs von Xu, Yuzhuang, Han, Xu, Li, Yuxuan, Li, Pengzhan, Che, Wanxiang

    Veröffentlicht 2026
    Inhaltsangabe: “… extremely low-bit but lossy quantization. Existing quantization algorithms mainly focus on improving …”
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  14. 1574

    Primal-Dual Guided Decoding for Constrained Discrete Diffusion von Tomasi, Federico, Moor, Dmitrii, Wang, Alice, Lalmas, Mounia

    Veröffentlicht 2026
    Inhaltsangabe: “… guided decoding, an inference-time method that formulates constrained generation as a KL-regularised …”
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  15. 1575

    P‐2.1: Multi‐Scale Feature Fusion Generative Adversarial Network for Image Inpainting von Lunze Hu, Liujun Yuan, Yanzhuo Hu, Enguo Chen, Sheng Xu, Tailiang Guo, Yun Ye

    Veröffentlicht 2024
    Inhaltsangabe: “… restoration. Therefore, we propose an image inpainting algorithm based on Multi‐Scale Feature Fusion …”
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    Artículo Open Access
  16. 1576

    A Framework for Measuring Tree Rings Based on Panchromatic Images and Deep Learning von Sheng Wang, Chaoyue Zhao, Yun Su, Kangjian Cao, Chao Mou, Fu Xu

    Veröffentlicht 2024
    Inhaltsangabe: “… are pivotal for decoding the age and growth patterns of trees, reflecting the impact of environmental factors …”
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    Artículo Open Access
  17. 1577

    Hybrid intelligent reflective surfaces and relay assisted secure transmission scheme with power allocation von Yan Shi, Dongqing Zhao, Yue Wu

    Veröffentlicht 2024
    Inhaltsangabe: “… of communication transmissions, this study proposes a novel hybrid secure scheme that combines a decode‐and‐forward …”
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    Artículo Open Access
  18. 1578

    Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions von Khadivi, Maziyar, Charter, Todd, Yaghoubi, Marjan, Jalayer, Masoud, Ahang, Maryam, Shojaeinasab, Ardeshir, Najjaran, Homayoun

    Veröffentlicht 2023
    Inhaltsangabe: “… , encoder-decoder architectures, graph neural networks, and metaheuristic algorithms. Our review concludes …”
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  19. 1579

    Multimodal Urban Areas of Interest Generation via Remote Sensing Imagery and Geographical Prior von Shi, Chuanji, Zhang, Yingying, Wang, Jiaotuan, Guo, Xin, Zhu, Qiqi

    Veröffentlicht 2024
    Inhaltsangabe: “… that segments road networks at various levels, our approach diverges from semantic segmentation algorithms …”
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  20. 1580

    Parameter-Efficient Instance-Adaptive Neural Video Compression von Yang, Hyunmo, Oh, Seungjun, Park, Eunbyung

    Veröffentlicht 2024
    Inhaltsangabe: “… the encoder or decoder networks for a particular test instance video. However, fine-tuning all the model …”
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