Výsledky vyhľadávania - "Theory and Algorithms for Application Domains"

Twin Graph-Based Anomaly Detection via Attentive Multi-Modal Learning for Microservice System Autor Huang, Jun, Yang, Yang, Yu, Hang, Li, Jianguo, Zheng, Xiao

“…Microservice architecture has sprung up over recent years for managing enterprise applications, due to its ability to independently deploy and scale services…”
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HIFI: Explaining and Mitigating Algorithmic Bias Through the Lens of Game-Theoretic Interactions Autor Zhang, Lingfeng, Wang, Zhaohui, Zhang, Yueling, Zhang, Min, Wang, Jiangtao

“…Machine Learning (ML) algorithms are increasingly used in decision-making process across various social-critical domains, but they often somewhat inherit and…”
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Splitwise: Efficient Generative LLM Inference Using Phase Splitting Autor Patel, Pratyush, Choukse, Esha, Zhang, Chaojie, Shah, Aashaka, Goiri, Inigo, Maleki, Saeed, Bianchini, Ricardo

“…Generative large language model (LLM) applications are growing rapidly, leading to large-scale deployments of expensive and power-hungry GPUs. Our…”
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Making Fair ML Software using Trustworthy Explanation Autor Chakraborty, Joymallya, Peng, Kewen, Menzies, Tim

“…Machine learning software is being used in many applications (finance, hiring, admissions, criminal justice) having huge social impact. But sometimes the…”
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Multiple-Boundary Clustering and Prioritization to Promote Neural Network Retraining Autor Shen, Weijun, Li, Yanhui, Chen, Lin, Han, Yuanlei, Zhou, Yuming, Xu, Baowen

“…With the increasing application of deep learning (DL) models in many safety-critical scenarios, effective and efficient DL testing techniques are much in…”
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Holistic Design towards Resource-Stringent Binary Vector Symbolic Architecture Autor Duan, Shijin, Narkthong, Nuntipat, Luo, Yukui, Ren, Shaolei, Xu, Xiaolin

“…Classification tasks on ultra-lightweight devices demand devices that are resource-constrained and deliver swift responses. Binary Vector Symbolic Architecture…”
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Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders Autor Ludmir, Jason Zev, Rebello, Sophia, Ruiz, Jacob, Patel, Tirthak

“…Detecting mission-critical anomalous events and data is a crucial challenge across various industries, including finance, healthcare, and energy. Quantum…”
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Scalable Community Detection Using Quantum Hamiltonian Descent and QUBO Formulation Autor Cheng, Jinglei, Zhou, Ruilin, Gan, Yuhang, Qian, Chen, Liu, Junyu

“…We present a quantum-inspired algorithm that utilizes Quantum Hamiltonian Descent (QHD) for efficient community detection. Our approach reformulates the…”
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MAGIKA: AI-Powered Content-Type Detection Autor Fratantonio, Yanick, Invernizzi, Luca, Farah, Loua, Thomas, Kurt, Zhang, Marina, Albertini, Ange, Galilee, Francois, Metitieri, Giancarlo, Cretin, Julien, Petit-Bianco, Alex, Tao, David, Bursztein, Elie

“…The task of content-type detection-which entails identifying the data encoded in an arbitrary byte sequence-is critical for operating systems, development,…”
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Famos: Fault Diagnosis for Microservice Systems Through Effective Multi-Modal Data Fusion Autor Duan, Chiming, Yang, Yong, Jia, Tong, Liu, Guiyang, Liu, Jinbu, Zhang, Huxing, Zhou, Qi, Li, Ying, Huang, Gang

“…Accurately diagnosing the fault that causes the failure is crucial for maintaining the reliability of a microservice system after a failure occurs. Mainstream…”
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A Multiple Representation Transformer with Optimized Abstract Syntax Tree for Efficient Code Clone Detection Autor Yu, Tianchen, Yuan, Li, Lin, Liannan, He, Hongkui

“…Over the past decade, the application of deep learning in code clone detection has produced remarkable results. However, the current approaches have two…”
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Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers Autor Li, Zhen, Zhang, Ruqian, Zou, Deqing, Wang, Ning, Li, Yating, Xu, Shouhuai, Chen, Chen, Jin, Hai

“…Deep learning has been widely used in source code classification tasks, such as code classification according to their functionalities, code authorship…”
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SLIM: a Scalable and Interpretable Light-weight Fault Localization Algorithm for Imbalanced Data in Microservice Autor Ren, Rui, Yang, Jingbang, Yang, Linxiao, Gu, Xinyue, Sun, Liang

“…In real-world microservice systems, the newly deployed service -one kind of change service, could lead to a new type of minority fault. Existing…”
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ADAMAS: Adaptive Domain-Aware Performance Anomaly Detection in Cloud Service Systems Autor Gu, Wenwei, Gu, Jiazhen, Liu, Jinyang, Chen, Zhuangbin, Zhang, Jianping, Kuang, Jinxi, Feng, Cong, Yang, Yongqiang, Lyu, Michael R.

“…A common practice in the reliability engineering of cloud services involves the collection of monitoring metrics, followed by comprehensive analysis to…”
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Optimal Join Algorithms Meet Top- k Autor Tziavelis, Nikolaos, Gatterbauer, Wolfgang, Riedewald, Mirek

“…have been studied intensively in the database community and they are an important means to reduce query cost when only the "best" or "most interesting" results…”
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Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain Autor Huang, Qing, Wan, Zhenyu, Xing, Zhenchang, Wang, Changjing, Chen, Jieshan, Xu, Xiwei, Lu, Qinghua

“…API recommendation methods have evolved from literal and semantic keyword matching to query expansion and query clarification. The latest query clarification…”
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Can Short Hypervectors Drive Feature-Rich GNNs? Strengthening the Graph Representation of Hyperdimensional Computing for Memory-efficient GNNs Autor Wang, Jihe, Han, Yuxi, Wang, Danghui

“…Hyperdimensional computing (HDC) based GNNs are significantly advancing the brain-like cognition in terms of mathematical rigorousness and computational…”
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The Laplace Mechanism has optimal utility for differential privacy over continuous queries Autor Fernandes, Natasha, McIver, Annabelle, Morgan, Carroll

“…Differential Privacy protects individuals' data when statistical queries are published from aggregated databases: applying "obfuscating" mechanisms to the…”
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Listening to the Firehose: Sonifying Z3's Behavior Autor Hackett, Finn, Beschastnikh, Ivan

“…Modern formal methods rely heavily on Satisfiability Modulo Theory (SMT) solvers like Z3. Unfortunately, these solvers are complex, have unpredictable runtime…”
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Delving into Topology Representation for Layout Pattern: A Novel Contrastive Learning Framework for Hotspot Detection Autor Chen, Silin, Di, Kangjian, Wang, Guohao, Zhao, Wenzheng, Du, Li, Zou, Ningmu

“…Recently, machine learning-based techniques have been applied for layout hotspot detection. However, existing methods encounter challenges in capturing the…”
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