Risultati della ricerca - (coding OR (endedededededededededededededededededededededededededecoding OR Decoding)) algorithm

Variation-Aware Semantic Image Synthesis di Xu, Mingle, Lee, Jaehwan, Yoon, Sook, Kim, Hyongsuk, Park, Dong Sun

Sommario: “... in image-level has been discussed heavily, class-level mode collapse widely exists in current algorithms...”
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FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding di Yan, Peishen, Li, Jun, Wang, Hao, Song, Tao, Hua, Yang, Peng, Lu, Zhou, Haihui, Guan, Haibing

Sommario: “... focus on algorithmic improvements that alter the FL algorithm but sacrificing the training performance...”
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Monotone Erasure Codes di Bammert, Vivien, Cimatti, Annalisa, Alpos, Orestis, Losa, Giuliano, Cachin, Christian

Sommario: “...: We give an efficient algorithm to construct linear monotone erasure codes for any access structure...”
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Where Is Self-admitted Code Generated by Large Language Models on GitHub? di Yu, Xiao, Liu, Lei, Hu, Xing, Liu, Jin, Xia, Xin

Sommario: “...-complexity snippets (e.g., algorithms and data structures code; text processing code). (4) ChatGPT/Copilot...”
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Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing di Chen, Boyuan, Zhu, Mingzhi, Dolan-Gavitt, Brendan, Shafique, Muhammad, Garg, Siddharth

Sommario: “...The rapid advancement of large language models (LLMs) has significantly improved code completion...”
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Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition di Neumüller, Denis, Boll, Sebastian, Schüler, David, Tichy, Matthias

Sommario: “... understanding source code, the ability to automatically identify algorithms within source code presents a...”
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Designing Network Algorithms via Large Language Models di He, Zhiyuan, Gottipati, Aashish, Qiu, Lili, Luo, Xufang, Xu, Kenuo, Yang, Yuqing, Yan, Francis Y.

Sommario: “...We introduce NADA, the first framework to autonomously design network algorithms by leveraging...”
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ADDQ: Adaptive Distributional Double Q-Learning di Döring, Leif, Wille, Benedikt, Birr, Maximilian, Bîrsan, Mihail, Slowik, Martin

Sommario: “... of $Q$-learning and actor-critic methods. One of the reasons of the success of modern RL algorithms...”
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Partition Tree Weighting for Non-Stationary Stochastic Bandits di Veness, Joel, Hutter, Marcus, Gyorgy, Andras, Grau-Moya, Jordi

Sommario: “... performing algorithm for this problem that generalises the Partition Tree Weighting universal source coding...”
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Same Same But Different: Preventing Refactoring Attacks on Software Plagiarism Detection di Maisch, Robin, Schmid, Larissa, Sağlam, Timur, Niehues, Nils

Sommario: “... sophisticated obfuscation techniques, particularly automated refactoring-based attacks. While code plagiarism...”
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Learning Better Error Correction Codes with Hybrid Quantum-Assisted Machine Learning di Yanay, Yariv

Sommario: “.... The Quantum Lego formalism has introduced a systematic way of constructing new stabilizer codes out of basic...”
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Towards a Systems Theory of Algorithms di Dörfler, Florian, He, Zhiyu, Belgioioso, Giuseppe, Bolognani, Saverio, Lygeros, John, Muehlebach, Michael

Sommario: “...Traditionally, numerical algorithms are seen as isolated pieces of code confined to an {\em...”
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Extending SEEDS to a Supervoxel Algorithm for Medical Image Analysis di Zhao, Chenhui, Jiang, Yan, Hollon, Todd C.

Sommario: “...In this work, we extend the SEEDS superpixel algorithm from 2D images to 3D volumes, resulting in 3...”
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Real-time implementation of vibrato transfer as an audio effect di Hyrkas, Jeremy

Sommario: “... as source code for an implementation as a VST plugin. This algorithm has applications as an audio effect...”
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Massive Unsourced Random Access for Near-Field Communications di Xie, Xinyu, Wu, Yongpeng, An, Jianping, Ng, Derrick Wing Kwan, Xing, Chengwen, Zhang, Wenjun

Sommario: “...-distance (polar) domain based on the maximum permissible coherence. Decoding starts with retrieving active...”
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Multi-Modal Hallucination Control by Visual Information Grounding di Favero, Alessandro, Zancato, Luca, Trager, Matthew, Choudhary, Siddharth, Perera, Pramuditha, Achille, Alessandro, Swaminathan, Ashwin, Soatto, Stefano

Sommario: “...-Information Decoding (M3ID), a new sampling method for prompt amplification. M3ID amplifies the influence...”
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Variability in Grasp Type Distinction for Myoelectric Prosthesis Control Using a Non-Invasive Brain-Machine Interface di Piozin, Corentin, Bouarroudj, Lisa, Audran, Jean-Yves, Lavrard, Brice, Simon, Catherine, Waszak, Florian, Eskiizmirliler, Selim

Sommario: “...Decoding multiple movements from the same limb using electroencephalographic (EEG) activity is a...”
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Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models di Sua, Lutfu, Wang, Haibo, Huang, Jun

Sommario: “... for different algorithms. The proposed DL framework compares various methods and alternative training/test...”
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QuickVideo: Real-Time Long Video Understanding with System Algorithm Co-Design di Schneider, Benjamin, Jiang, Dongfu, Du, Chao, Pang, Tianyu, Chen, Wenhu

Sommario: “...-algorithm co-design that substantially accelerates long-video understanding to support real-time downstream...”
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PPORLD-EDNetLDCT: A Proximal Policy Optimization-Based Reinforcement Learning Framework for Adaptive Low-Dose CT Denoising di Sutradhar, Debopom, Debnath, Ripon Kumar, Raiaan, Mohaimenul Azam Khan, Zhang, Yan, Mohamed, Reem E., Azam, Sami

Sommario: “... introduce PPORLD-EDNetLDCT, a reinforcement learning-based (RL) approach with Encoder-Decoder for LDCT. Our...”
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