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

PoC-Adapt: Semantic-Aware Automated Vulnerability Reproduction with LLM Multi-Agents and Reinforcement Learning-Driven Adaptive Policy

Phan The Duy, Khoa Ngo-Khanh, Nguyen Huu Quyen, Van-Hau Pham ยท 2026

While recent approaches leverage large language models (LLMs) and multi-agent pipelines to automatically generate proof-of-concept (PoC) exploits from vulnerability reports, existing systems often sufโ€ฆ

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Computer Science Preprint PDF DOI

Can Drift-Adaptive Malware Detectors Be Made Robust? Attacks and Defenses Under White-Box and Black-Box Threats

Adrian Shuai Li, Md Ajwad Akil, Elisa Bertino ยท 2026

Concept drift and adversarial evasion are two major challenges for deploying machine learning-based malware detectors. While both have been studied separately, their combination, the adversarial robusโ€ฆ

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Computer Science Preprint PDF DOI

DynLP: Parallel Dynamic Batch Update for Label Propagation in Semi-Supervised Learning

S M Shovan, Arindam Khanda, S M Ferdous, Sajal K. Das, Mahantesh Halappanavar ยท 2026

Semi-supervised learning aims to infer class labels using only a small fraction of labeled data. In graph-based semi-supervised learning, this is typically achieved through label propagation to predicโ€ฆ

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Computer Science Preprint PDF DOI

It's Not About Whom You Train: An Analysis of Corporate Education in Software Engineering

Rodrigo Siqueira, Danilo Monteiro Ribeiro ยท 2026

Context: Corporate education is a strategic investment in the software industry, but little is known about how different professional profiles perceive these initiatives. Objective: To investigate wheโ€ฆ

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Computer Science Preprint PDF DOI

FairLogue: Evaluating Intersectional Fairness across Clinical Machine Learning Use Cases using the All of Us Research Program

Nick Souligne, Vignesh Subbian ยท 2026

Intersectional biases in healthcare data can produce compound disparities in clinical machine learning models, yet most fairness evaluations assess demographic attributes independently. FairLogue, a tโ€ฆ

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Computer Science Preprint PDF DOI

Reproducibility Beyond Artifacts: Interactional Support for Collaborative Machine Learning

Zhiwei Li, Carl Kesselman ยท 2026

Machine learning (ML) reproducibility is often framed as a problem of incomplete artifact recording. This framing leads to systems that prioritize capturing datasets, code, configurations, and executiโ€ฆ

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Computer Science Preprint PDF DOI

A Survey of Algorithm Debt in Machine and Deep Learning Systems: Definition, Smells, and Future Work

Emmanuel Iko-Ojo Simon, Chirath Hettiarachchi, Fatemeh Fard, Alex Potanin, Hanna Suominen ยท 2026

The adoption of Machine and Deep Learning (ML/DL) technologies introduces maintenance challenges, leading to Technical Debt (TD). Algorithm Debt (AD) is a TD type that impacts the performance and scalโ€ฆ

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Computer Science Preprint PDF DOI

Navigating Marginalization: Toward Justice-Oriented Socio-Technical Design for Parent-Child Learning among Southeast Asian Immigrant Mothers in Taiwan

Ying-Yu Chen, Yang Hong, Yan-Rong Chen, Yi-Chieh Lee ยท 2026

This study investigates how Southeast Asian (SEA) immigrant mothers in Taiwan participate in their children's home-based learning. Drawing on semi-structured interviews and diary studies, we explore hโ€ฆ

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Computer Science Preprint PDF DOI

"Don't Be Afraid, Just Learn": Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI

Daniel Otten, Trevor Stalnaker, Nathan Wintersgill, Oscar Chaparro, Denys Poshyvanyk, Douglas Schmidt ยท 2026

Although tension between university curricula and industry expectations has existed in some form for decades, the rapid integration of generative AI (GenAI) tools into software development has recentlโ€ฆ

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Computer Science Preprint PDF DOI

Knowledge Markers: An AI-Agnostic Concept for the Design of Programming Courses

Christina Maria Mayr ยท 2026

Generative AI enables students to produce plausible code quickly. Producing working code is therefore no longer a reliable indicator of understanding. This is particularly problematic in non-computer-โ€ฆ

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Computer Science Preprint PDF DOI

Data, Not Model: Explaining Bias toward LLM Texts in Neural Retrievers

Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng ยท 2026

Recent studies show that neural retrievers often display source bias, favoring passages generated by LLMs over human-written ones, even when both are semantically similar. This bias has been considereโ€ฆ

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Computer Science Preprint PDF DOI

FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs

Syed Irfan Ali Meerza, Feiyi Wang, Jian Liu ยท 2026

Given the growing reliance on private data in training Large Language Models (LLMs), Federated Learning (FL) combined with Parameter-Efficient Fine-Tuning (PEFT) has garnered significant attention forโ€ฆ

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Computer Science Preprint PDF DOI

Towards Securing IIoT: An Innovative Privacy-Preserving Anomaly Detector Based on Federated Learning

Samira Kamali Poorazad, Chafika Benzaid, Tarik Taleb ยท 2026

In the light of the growing connectivity and sensitivity of industrial data, cyberattacks and data breaches are becoming more common in the Industrial Internet of Things (IIoT). To cope with such thโ€ฆ

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Computer Science Preprint PDF DOI

Covering-radius and Collinearity- Minimizing Pilots for Channel Estimation in TDD Systems

Xu Zhu, Yi Zeng, Tiejun Li ยท 2026

This letter studies pilot design for orthogonal frequency-division multiplexing-based time-division duplex (TDD) systems under a sliding-window latest-slot recovery framework that jointly exploits delโ€ฆ

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FEEL: Quantifying Heterogeneity in Physiological Signals for Generalizable Emotion Recognition

Pragya Singh, Ankush Gupta, Somay Jalan, Mohan Kumar, Pushpendra Singh ยท 2026

Emotion recognition from physiological signals has substantial potential for applications in mental health and emotion-aware systems. However, the lack of standardized, large-scale evaluations across โ€ฆ

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Computer Science Preprint PDF DOI

Cayley Graph Optimization for Scalable Multi-Agent Communication Topologies

Jingkai Luo, Yulin Shao ยท 2026

Large-scale multi-agent communication has long faced a scalability bottleneck: fully connected networks require quadratic complexity, yet existing sparse topologies rely on hand-crafted rules. This paโ€ฆ

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Computer Science Preprint PDF DOI

Learning Shared Sentiment Prototypes for Adaptive Multimodal Sentiment Analysis

Chen Su, Yuanhe Tian, Yan Song ยท 2026

Multimodal sentiment analysis (MSA) aims to predict human sentiment from textual, acoustic, and visual information in videos. Recent studies improve multimodal fusion by modeling modality interaction โ€ฆ

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Computer Science Preprint PDF DOI

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing

Linghui Meng, Chun Gan, Shengsheng Niu, Chengcheng Zhang, Chenchen Li, Chuan Yang, Yi Mao, Xin Zhu, Jie He, Zhangang Lin, Ching Law ยท 2026

Auto-bidding services optimize real-time bidding strategies for advertisers under key performance indicator (KPI) constraints such as target return on investment and budget. However, uncertainties sucโ€ฆ

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Computer Science Preprint PDF DOI

Proof of Concept as a First-Class Architectural Decision Instrument

Bruno Fernando Antognolli, Fabio Petrillo ยท 2026

Proofs of Concept (PoCs) are widely adopted practices in software engineering. Despite their relevance, PoCs remain conceptually underdefined and methodologically ad hoc in both research and industry,โ€ฆ

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Reinforcement Learning with Negative Tests as Completeness Signal for Formal Specification Synthesis

Zhechong Huang, Zhao Zhang, Zeyu Sun, Huifeng Sun, Yingfei Xiong ยท 2026

The specification synthesis task aims to automatically generate specifications, together with any necessary auxiliary verification annotations, for existing programs. This task is important because suโ€ฆ

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