Cover Image

Semi-supervised learning via DQN for log anomaly detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Yingying, Pei, Xiaobing
Format:	Preprint
Published:	2024
Subjects:	Software Engineering Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Architecting software monitors for control-flow anomaly detection through large language models and conformance checking
by: Vitale, Francesco, et al.
Published: (2025)

Transfer learning for conflict and duplicate detection in software requirement pairs
by: Malik, Garima, et al.
Published: (2023)

LogELECTRA: Self-supervised Anomaly Detection for Unstructured Logs
by: Yamanaka, Yuuki, et al.
Published: (2024)

DSHGT: Dual-Supervisors Heterogeneous Graph Transformer -- A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities
by: Zhang, Tiehua, et al.
Published: (2023)

When Less is More: On the Value of "Co-training" for Semi-Supervised Software Defect Predictors
by: Majumder, Suvodeep, et al.
Published: (2022)

LogPurge: Log Data Purification for Anomaly Detection via Rule-Enhanced Filtering
by: Zhang, Shenglin, et al.
Published: (2025)

QualiTagger: Automating software quality detection in issue trackers
by: Shivashankar, Karthik, et al.
Published: (2025)

A systematic literature Review for Transformer-based Software Vulnerability detection
by: Naseer, Fiza, et al.
Published: (2026)

An empirical study of testing machine learning in the wild
by: Openja, Moses, et al.
Published: (2023)

FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge
by: Zhao, Xinlong, et al.
Published: (2025)

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair
by: Zhang, Yifan, et al.
Published: (2026)

DeepTSF: Codeless machine learning operations for time series forecasting
by: Pelekis, Sotiris, et al.
Published: (2023)

DomainLab: A modular Python package for domain generalization in deep learning
by: Sun, Xudong, et al.
Published: (2024)

ITER: Iterative Neural Repair for Multi-Location Patches
by: Ye, He, et al.
Published: (2023)

SemRep: Generative Code Representation Learning with Code Transformations
by: Li, Weichen, et al.
Published: (2026)

Detecting Buggy Contracts via Smart Testing
by: Wang, Sally Junsong, et al.
Published: (2024)

Mechanistic Interpretability of Code Correctness in LLMs via Sparse Autoencoders
by: Tahimic, Kriz, et al.
Published: (2025)

Revisiting the Plastic Surgery Hypothesis via Large Language Models
by: Xia, Chunqiu Steven, et al.
Published: (2023)

Verifier-Guided Code Translation via Meta-Step Decoding
by: Zhou, Tianyang, et al.
Published: (2026)

Shapley-Guided Neural Repair Approach via Derivative-Free Optimization
by: Sun, Xinyu, et al.
Published: (2026)

Pruning the Unsurprising: Efficient LLM Reasoning via First-Token Surprisal
by: Zeng, Wenhao, et al.
Published: (2025)

ReVeal: Self-Evolving Code Agents via Reliable Self-Verification
by: Jin, Yiyang, et al.
Published: (2025)

Detecting Proxy Gaming in RL and LLM Alignment via Evaluator Stress Tests
by: Shihab, Ibne Farabi, et al.
Published: (2025)

QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization
by: Ke, Changxin, et al.
Published: (2026)

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs
by: Shan, Shiwen, et al.
Published: (2024)

FAST: Boosting Uncertainty-based Test Prioritization Methods for Neural Networks via Feature Selection
by: Chen, Jialuo, et al.
Published: (2024)

ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation
by: Feng, Shiwei, et al.
Published: (2024)

Fault Localization via Fine-tuning Large Language Models with Mutation Generated Stack Traces
by: Jambigi, Neetha, et al.
Published: (2025)

RocketPPA: Code-Level Power, Performance, and Area Prediction via LLM and Mixture of Experts
by: Abdollahi, Armin, et al.
Published: (2025)

Breaking Memorization Barriers in LLM Code Fine-Tuning via Information Bottleneck for Improved Generalization
by: Wang, Changsheng, et al.
Published: (2025)

NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing
by: Zhou, Shide, et al.
Published: (2024)

Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis
by: Yang, Xixuan, et al.
Published: (2025)

SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution
by: Raghavendra, Mohit, et al.
Published: (2026)

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models
by: Li, Linyi, et al.
Published: (2024)

A Fast and Scalable Pathwise-Solver for Group Lasso and Elastic Net Penalized Regression via Block-Coordinate Descent
by: Yang, James, et al.
Published: (2024)

Enhancing software product lines with machine learning components
by: Cobaleda, Luz-Viviana, et al.
Published: (2025)

evomap: A Toolbox for Dynamic Mapping in Python
by: Matthe, Maximilian
Published: (2025)

FrontierCS: Evolving Challenges for Evolving Intelligence
by: Mang, Qiuyang, et al.
Published: (2025)

EditLord: Learning Code Transformation Rules for Code Editing
by: Li, Weichen, et al.
Published: (2025)

Open-source framework for detecting bias and overfitting for large pathology images
by: Sildnes, Anders, et al.
Published: (2025)