Risultati della ricerca - coding (algorithm OR algorithmics)

Decoding-Time Language Model Alignment with Multiple Objectives di Shi, Ruizhe, Chen, Yifang, Hu, Yushi, Liu, Alisa, Hajishirzi, Hannaneh, Smith, Noah A., Du, Simon S.

Sommario: “...-objective decoding (MOD)}$, a decoding-time algorithm that outputs the next token from a linear combination...”
Testo

M${}^2$NuFFT: A Computationally Efficient Suboptimal Power Spectrum Estimator for Fast Exploration of Nonuniformly Sampled Time Series di Cui, Jie, Brinkmann, Benjamin H., Worrell, Gregory A.

Sommario: “... reduces computational burden while maintaining statistical efficiency. The algorithm partitions the signal...”
Testo

The Chandra Source Catalog Release 2 Series di Evans, Ian N., Evans, Janet D., Martínez-Galarza, J. Rafael, Miller, Joseph B., Primini, Francis A., Azadi, Mojegan, Burke, Douglas J., Civano, Francesca M., D'Abrusco, Raffaele, Fabbiano, Giuseppina, Graessle, Dale E., Grier, John D., Houck, John C., Lauer, Jennifer, McCollough, Michael L., Nowak, Michael A., Plummer, David A., Rots, Arnold H., Siemiginowska, Aneta, Tibbetts, Michael S.

Sommario: “... source samples. We discuss in detail the algorithms used for the CSC Release 2 Series, including CSC 2.0...”
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On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme Classification di Prakash, Jatin, Buvanesh, Anirudh, Santra, Bishal, Saini, Deepak, Yadav, Sachin, Jiao, Jian, Prabhu, Yashoteja, Sharma, Amit, Varma, Manik

Sommario: “... document set. XC algorithms used in real-world applications learn this mapping from datasets curated from...”
Testo

MADNESS Deblender: Maximum A posteriori with Deep NEural networks for Source Separation di Biswas, Biswajit, Aubourg, Eric, Boucaud, Alexandre, Guinot, Axel, Lao, Junpeng, Roucelle, Cécile, Collaboration, the LSST Dark Energy Science

Sommario: “... residual systematic effect. Deblending algorithms tackle this issue by reconstructing the isolated...”
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HybridFlow: A Flexible and Efficient RLHF Framework di Sheng, Guangming, Zhang, Chi, Ye, Zilingfeng, Wu, Xibin, Zhang, Wang, Zhang, Ru, Peng, Yanghua, Lin, Haibin, Wu, Chuan

Sommario: “..., allowing efficient operation orchestration to implement RLHF algorithms and flexible mapping...”
Testo

Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding di Teng, Yao, Shi, Han, Liu, Xian, Ning, Xuefei, Dai, Guohao, Wang, Yu, Li, Zhenguo, Liu, Xihui

Sommario: “... in substantial time consumption. In existing studies, Jacobi decoding, an iterative parallel decoding algorithm...”
Testo

Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification di Luo, Yihong, Chen, Yuhan, Qiu, Siya, Wang, Yiwei, Zhang, Chen, Zhou, Yan, Cao, Xiaochun, Tang, Jing

Sommario: “... to the base optimizer (e.g., Adam). To mitigate this drawback, we introduce a novel algorithm, Fast Graph...”
Testo

Layered LA-MAPF: a decomposition of large agent MAPF instance to accelerate solving without compromising solvability di Yao, Zhuo

Sommario: “... MAPF algorithms assume that an agent occupies only a single grid in a grid-based map. This assumption...”
Testo

GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks di Liang, Ruihuai, Yang, Bo, Chen, Pengyu, Cao, Xuelin, Yu, Zhiwen, Debbah, Mérouane, Niyato, Dusit, Poor, H. Vincent, Yuen, Chau

Sommario: “... training datasets. The MSCO datasets has open-sourced at this http URL, as well as the GDSG algorithm codes...”
Testo

Natural Language Fine-Tuning di Liu, Jia, Wang, Yue, Lin, Zhiqi, Chen, Min, Hao, Yixue, Hu, Long

Sommario: “... reinforcement fine-tuning algorithms in accuracy, time-saving, and resource conservation. Additionally...”
Testo

SEDD: Scalable and Efficient Dataset Deduplication with GPUs di Son, Youngjun, Kim, Chaewon, Lee, Jaejin

Sommario: “... is the MinHash Locality-Sensitive Hashing (LSH) algorithm. Recently, GPU-accelerated frameworks such as NVIDIA...”
Testo

Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique di Chattopadhyay, Anindita, Bisariya, Siddharth, Sutrakar, Vijay Kumar

Sommario: “.... By focusing on path retrace algorithms. The methodology is validated across three distinct cases, each...”
Testo

Pre-Equalization Aided Grant-Free Massive Access in Massive MIMO System di Wang, Yueqing, Mei, Yikun, Gao, Zhen, Wan, Ziwei, Ning, Boyu, Mi, De, Muhaidat, Sami

Sommario: “... iterative detection algorithm, which consists of three modules: coarse data detection (DD), data-aided...”
Testo

Architecture-Aware Minimization (A$^2$M): How to Find Flat Minima in Neural Architecture Search di Gambella, Matteo, Pittorino, Fabrizio, Roveri, Manuel

Sommario: “... novel analytically derived algorithmic framework that explicitly biases, for the first time...”
Testo

HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference di Zhong, Shuzhang, Sun, Yanfan, Liang, Ling, Wang, Runsheng, Huang, Ru, Li, Meng

Sommario: “... prefetching algorithm, and (iii) a score-based caching algorithm to mitigate expert activation instability. We...”
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Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? di Yue, Yang, Chen, Zhiqi, Lu, Rui, Zhao, Andrew, Wang, Zhaokai, Yue, Yang, Song, Shiji, Huang, Gao

Sommario: “... algorithms, and math, coding, and visual reasoning benchmarks, using pass@k at large k values...”
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Adversarial Attack for RGB-Event based Visual Object Tracking di Chen, Qiang, Wang, Xiao, Wang, Haowen, Jiang, Bo, Zhu, Lin, Zhang, Dawei, Tian, Yonghong, Tang, Jin

Sommario: “... stream tracking algorithms, yet research in this area remains relatively scarce. To bridge this gap...”
Testo

Transforming faces into video stories -- VideoFace2.0 di Brkljač, Branko, Kalušev, Vladimir, Popović, Branislav, Sečujski, Milan

Sommario: “... applicability of the proposed face ReID algorithm that is combining the concepts of face detection, face...”
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Dynamic Graph-based Fingerprinting of In-browser Cryptomining di Sermchaiwong, Tanapoom, Shen, Jiasi

Sommario: “..., and due to the limited variety of cryptomining scripts in the wild, standard code obfuscation methods...”
Testo