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๐Ÿ” avoidance learning ๐Ÿ“‚ Computer Science
Showing 46580 results for "avoidance learning" in Computer Science
Computer Science Preprint PDF DOI

CapBench: A Multi-PDK Dataset for Machine-Learning-Based Post-Layout Capacitance Extraction

Hector R. Rodriguez, Jiechen Huang, Wenjian Yu ยท 2026

We present CapBench, a fully reproducible, multi-PDK dataset for capacitance extraction. The dataset is derived from open-source designs, including single-core CPUs, systems-on-chip, and media accelerโ€ฆ

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Computer Science Preprint PDF DOI

NeuVolEx: Implicit Neural Features for Volume Exploration

Haill An, Suhyeon Kim, Donghyuk Choo, Younhyun Jung ยท 2026

Direct volume rendering (DVR) aims to help users identify and examine regions of interest (ROIs) within volumetric data, and feature representations that support effective ROI classification and clustโ€ฆ

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Computer Science Preprint PDF DOI

A Simulation-Based Method for Testing Collaborative Learning Scaffolds Using LLM-Based Multi-Agent Systems

Han Wua, Lishan Zhang, Chunming Lu ยท 2026

Background: Traditional research on collaborative learning scaffolding is often time-consuming and resource-heavy, which hinders the rapid iteration and optimization of instructional strategies. LLM-bโ€ฆ

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Computer Science Preprint PDF DOI

Use of AI Tools: Guidelines to Maintain Academic Integrity in Computing Colleges

Hatem M. El-boghdadi, Toqeer Ali Syed, Ali Akarma, Qamar Wali ยท 2026

The rapid adoption of AI tools such as ChatGPT has significantly transformed academic practices, offering considerable benefits for both students and faculty in computing disciplines. These tools haveโ€ฆ

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Computer Science Preprint PDF DOI

AnomalyGen: Enhancing Log-Based Anomaly Detection with Code-Guided Data Augmentation

Xinyu Li, Yintong Huo, Chenxi Mao, Shiwen Shan, Yuxin Su, Yanlin Wang, Zibin Zheng ยท 2026

Log-based anomaly detection is fundamentally constrained by training data sparsity. Our empirical study reveals that public benchmark datasets cover less than 10% of source code log templates. Consequโ€ฆ

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Computer Science Preprint PDF DOI

NimbusGuard: A Novel Framework for Proactive Kubernetes Autoscaling Using Deep Q-Networks

Chamath Wanigasooriya, Indrajith Ekanayake ยท 2026

Cloud native architecture is about building and running scalable microservice applications to take full advantage of the cloud environments. Managed Kubernetes is the powerhouse orchestrating cloud naโ€ฆ

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Enabling and Inhibitory Pathways of Students' AI Use Concealment Intention in Higher Education: Evidence from SEM and fsQCA

Yiran Du, Huimin He ยท 2026

This study investigates students' AI use concealment intention in higher education by integrating the cognition-affect-conation (CAC) framework with a dual-method approach combining structural equatioโ€ฆ

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Computer Science Preprint PDF DOI

Multi-Faceted Continual Knowledge Graph Embedding for Semantic-Aware Link Prediction

Jing Qi, Yuxiang Wang, Zhiyuan Yu, Xiaoliang Xu, Yuanshi Zheng, Tianxing Wu ยท 2026

Continual Knowledge Graph Embedding (CKGE) aims to continually learn embeddings for new knowledge, i.e., entities and relations, while retaining previously acquired knowledge. Most existing CKGE methoโ€ฆ

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Computer Science Preprint PDF DOI

QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits

Navid Azimi, Aditya Prakash, Yao Wang, Li Xiong ยท 2026

Deep neural networks remain highly vulnerable to adversarial perturbations, limiting their reliability in security- and safety-critical applications. To address this challenge, we introduce QShield, aโ€ฆ

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Teaching Robots to Interpret Social Interactions through Lexically-guided Dynamic Graph Learning

Tongfei Bian, Mathieu Chollet, Tanaya Guha ยท 2026

For a robot to be called socially intelligent, it must be able to infer users internal states from their current behaviour, predict the users future behaviour, and if required, respond appropriately. โ€ฆ

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Understanding Communication Backends in Cross-Silo Federated Learning

Amir Ziashahabi, Chaoyang He, Salman Avestimehr ยท 2026

Federated learning (FL) has emerged as a practical means for privacy-preserving distributed machine learning. FL's versatile design makes it suitable for various training settings, from IoT edge devicโ€ฆ

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Participatory, not Punitive: Student-Driven AI Policy Recommendations in a Design Classroom

Kaoru Seki, Manisha Vijay, Yasmine Kotturi ยท 2026

Generative AI is reshaping education, yet most university AI policies are written without students and focus on penalizing misuse. This top-down approach sidelines those most affected from decisions tโ€ฆ

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Computer Science Preprint PDF DOI

MeloTune: On-Device Arousal Learning and Peer-to-Peer Mood Coupling for Proactive Music Curation

Hongwei Xu ยท 2026

MeloTune is an iPhone-deployed music agent that instantiates the Mesh Memory Protocol (MMP) and Symbolic-Vector Attention Fusion (SVAF) as a production system for affect-aware music curation with peerโ€ฆ

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Computer Science Preprint PDF DOI

Adaptive Bounded-Rationality Modeling of Early-Stage Takeover in Shared-Control Driving

Jian Sun, Xiyan Jiang, Xiaocong Zhao, Jie Wang, Peng Hang, Zirui Li ยท 2026

Human drivers' control quality in the first seconds after a handover is critical to shared-driving safety; potentially unsafe steering or pedal inputs therefore require detection and correction by theโ€ฆ

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VulWeaver: Weaving Broken Semantics for Grounded Vulnerability Detection

Yiheng Cao, Yihao Chen, Xin Hu, Bihuan Chen, Jiayi Deng, Zhuotong Zhou, Susheng Wu, Yiheng Huang, Xueying Du, Xingman Chen, Miaohua Li, Xin Peng ยท 2026

Detecting vulnerabilities in source code remains critical yet challenging, as conventional static analysis tools construct inaccurate program representations, while existing LLM-based approaches oftenโ€ฆ

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Computer Science Preprint PDF DOI

Perceived Importance of Cognitive Skills Among Computing Students in the Era of AI

Neha Rani, Erta Cenko, Laura Melissa Cruz Castro ยท 2026

The availability and increasing integration of generative AI tools have transformed computing education. While AI in education presents opportunities, it also raises new concerns about how these powerโ€ฆ

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Critical-CoT: A Robust Defense Framework against Reasoning-Level Backdoor Attacks in Large Language Models

Vu Tuan Truong, Long Bao Le ยท 2026

Large Language Models (LLMs), despite their impressive capabilities across domains, have been shown to be vulnerable to backdoor attacks. Prior backdoor strategies predominantly operate at the token lโ€ฆ

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A Linear Temporal Logic of Frequencies on Series of Events

Melissa Antonelli, Leonardo Ceragioli, Alessandro Buda, Giuseppe Primiero ยท 2026

This paper introduces LTLF, a temporal logic designed to express the frequency properties of event series in a natural but rigorous manner. By introducing novel, measure-sensitive operators, LTLF alloโ€ฆ

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Beyond Static Sandboxing: Learned Capability Governance for Autonomous AI Agents

Bronislav Sidik, Lior Rokach ยท 2026

Autonomous AI agents built on open-source runtimes such as OpenClaw expose every available tool to every session by default, regardless of the task. A summarization task receives the same shell executโ€ฆ

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BMdataset: A Musicologically Curated LilyPond Dataset

Matteo Spanio, Ilay Guler, Antonio Roda ยท 2026

Symbolic music research has relied almost exclusively on MIDI-based datasets; text-based engraving formats such as LilyPond remain unexplored for music understanding. We present BMdataset, a musicologโ€ฆ

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