Search Results - coding (algorithmssssics OR (algorithm OR (algorithm OR algorithmicsics)))

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

Table of Contents: “…-objective decoding (MOD)}$, a decoding-time algorithm that outputs the next token from a linear combination…”
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M${}^2$NuFFT: A Computationally Efficient Suboptimal Power Spectrum Estimator for Fast Exploration of Nonuniformly Sampled Time Series by Cui, Jie, Brinkmann, Benjamin H., Worrell, Gregory A.

Table of Contents: “… reduces computational burden while maintaining statistical efficiency. The algorithm partitions the signal…”
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The Chandra Source Catalog Release 2 Series by 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.

Table of Contents: “… 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 by Prakash, Jatin, Buvanesh, Anirudh, Santra, Bishal, Saini, Deepak, Yadav, Sachin, Jiao, Jian, Prabhu, Yashoteja, Sharma, Amit, Varma, Manik

Table of Contents: “… document set. XC algorithms used in real-world applications learn this mapping from datasets curated from…”
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MADNESS Deblender: Maximum A posteriori with Deep NEural networks for Source Separation by Biswas, Biswajit, Aubourg, Eric, Boucaud, Alexandre, Guinot, Axel, Lao, Junpeng, Roucelle, Cécile, Collaboration, the LSST Dark Energy Science

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

Table of Contents: “…, allowing efficient operation orchestration to implement RLHF algorithms and flexible mapping…”
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Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding by Teng, Yao, Shi, Han, Liu, Xian, Ning, Xuefei, Dai, Guohao, Wang, Yu, Li, Zhenguo, Liu, Xihui

Table of Contents: “… in substantial time consumption. In existing studies, Jacobi decoding, an iterative parallel decoding algorithm…”
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Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification by Luo, Yihong, Chen, Yuhan, Qiu, Siya, Wang, Yiwei, Zhang, Chen, Zhou, Yan, Cao, Xiaochun, Tang, Jing

Table of Contents: “… to the base optimizer (e.g., Adam). To mitigate this drawback, we introduce a novel algorithm, Fast Graph…”
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Layered LA-MAPF: a decomposition of large agent MAPF instance to accelerate solving without compromising solvability by Yao, Zhuo

Table of Contents: “… MAPF algorithms assume that an agent occupies only a single grid in a grid-based map. This assumption…”
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GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks by Liang, Ruihuai, Yang, Bo, Chen, Pengyu, Cao, Xuelin, Yu, Zhiwen, Debbah, Mérouane, Niyato, Dusit, Poor, H. Vincent, Yuen, Chau

Table of Contents: “… training datasets. The MSCO datasets has open-sourced at this http URL, as well as the GDSG algorithm codes…”
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Natural Language Fine-Tuning by Liu, Jia, Wang, Yue, Lin, Zhiqi, Chen, Min, Hao, Yixue, Hu, Long

Table of Contents: “… reinforcement fine-tuning algorithms in accuracy, time-saving, and resource conservation. Additionally…”
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SEDD: Scalable and Efficient Dataset Deduplication with GPUs by Son, Youngjun, Kim, Chaewon, Lee, Jaejin

Table of Contents: “… is the MinHash Locality-Sensitive Hashing (LSH) algorithm. Recently, GPU-accelerated frameworks such as NVIDIA…”
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Fast and Accurate Identification of Hardware Trojan Locations in Gate-Level Netlist using Nearest Neighbour Approach integrated with Machine Learning Technique by Chattopadhyay, Anindita, Bisariya, Siddharth, Sutrakar, Vijay Kumar

Table of Contents: “…. By focusing on path retrace algorithms. The methodology is validated across three distinct cases, each…”
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Pre-Equalization Aided Grant-Free Massive Access in Massive MIMO System by Wang, Yueqing, Mei, Yikun, Gao, Zhen, Wan, Ziwei, Ning, Boyu, Mi, De, Muhaidat, Sami

Table of Contents: “… iterative detection algorithm, which consists of three modules: coarse data detection (DD), data-aided…”
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Architecture-Aware Minimization (A$^2$M): How to Find Flat Minima in Neural Architecture Search by Gambella, Matteo, Pittorino, Fabrizio, Roveri, Manuel

Table of Contents: “… novel analytically derived algorithmic framework that explicitly biases, for the first time…”
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HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference by Zhong, Shuzhang, Sun, Yanfan, Liang, Ling, Wang, Runsheng, Huang, Ru, Li, Meng

Table of Contents: “… 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? by Yue, Yang, Chen, Zhiqi, Lu, Rui, Zhao, Andrew, Wang, Zhaokai, Yue, Yang, Song, Shiji, Huang, Gao

Table of Contents: “… 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 by Chen, Qiang, Wang, Xiao, Wang, Haowen, Jiang, Bo, Zhu, Lin, Zhang, Dawei, Tian, Yonghong, Tang, Jin

Table of Contents: “… stream tracking algorithms, yet research in this area remains relatively scarce. To bridge this gap…”
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Transforming faces into video stories -- VideoFace2.0 by Brkljač, Branko, Kalušev, Vladimir, Popović, Branislav, Sečujski, Milan

Table of Contents: “… 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 by Sermchaiwong, Tanapoom, Shen, Jiasi

Table of Contents: “…, and due to the limited variety of cryptomining scripts in the wild, standard code obfuscation methods…”
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