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

Inevitable Encounters: Backdoor Attacks Involving Lossy Compression

Qian Li, Yunuo Chen, Yuntian Chen ยท 2026

Real-world backdoor attacks often require poisoned datasets to be stored and transmitted before being used to compromise deep learning systems. However, in the era of big data, the inevitable use of lโ€ฆ

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Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Video

David Wegmann, Emil Stevnsborg, S{o}ren Knudsen, Luca Rossi, Aske Mottelson ยท 2026

Advances in machine learning have enabled the creation of realistic synthetic videos known as deepfakes. As deepfakes proliferate, concerns about rapid spread of disinformation and manipulation of pubโ€ฆ

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Computer Science Preprint PDF DOI

MICRO: A Lightweight Middleware for Optimizing Cross-store Cross-model Graph-Relation Joins [Technical Report]

Xiuwen Zheng, Arun Kumar, Amarnath Gupta ยท 2026

Modern data applications increasingly involve heterogeneous data managed in different models and stored across disparate database engines, often deployed as separate installs. Limited research has addโ€ฆ

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Computer Science Preprint PDF DOI

Retrieve, Schedule, Reflect: LLM Agents for Chip QoR Optimization

Yikang ouyang, Yang Luo, Dongsheng Zuo, Yuzhe Ma ยท 2026

Modern chip design requires multi-objective optimization of timing, power, and area under stringent time-to-market constraints. Although powerful optimization algorithms are integrated into EDA tools,โ€ฆ

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Ransomware and Artificial Intelligence: A Comprehensive Systematic Review of Reviews

Therdpong Daengsi, Phisit Pornpongtechavanich, Paradorn Boonpoor, Kathawut Wattanachukul, Korn Puangnak, Kritphon Phanrattanachai, Pongpisit Wuttidittachotti, Paramate Horkaew ยท 2026

This study provides a comprehensive synthesis of Artificial Intelligence (AI), especially Machine Learning (ML) and Deep Learning (DL), in ransomware defense. Using a "review of reviews" methodology bโ€ฆ

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Computer Science Preprint PDF DOI

Toward Scalable Co-located Practical Learning: Assisting with Computer Vision and Multimodal Analytics

Xinyu Li, Linxuan Zhao, Roberto Martinez-Maldonado, Dragan Gasevic, Lixiang Yan ยท 2026

This study examined whether a single ceiling-mounted camera could be used to capture fine-grained learning behaviours in co-located practical learning. In undergraduate nursing simulations, teachers fโ€ฆ

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Computer Science Preprint PDF DOI

Microservice Architecture Patterns for Scalable Machine Learning Systems

Sowjanya Karanam, Jayanth Bhargav ยท 2026

Machine learning is now a central part of how modern systems are built and used, powering everything from personalized recommendations to large-scale business analytics. As its role grows, organizatioโ€ฆ

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Computer Science Preprint PDF DOI

Linnaeus: A Hierarchical, Multi-Label Framework for Autonomous System Classification

Marcos Piotto, Ignacio Schuemer, Santiago T. Torres, Mariano G. Beiro, Esteban Carisimo, Fabian E. Bustamante ยท 2026

Autonomous systems (ASes) play diverse roles in today's Internet, from community and research backbones to hyperscale content providers and submarine-cable operators. However, existing taxonomies baseโ€ฆ

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A Mathematical Programming Approach to Computing and Learning Berk--Nash Equilibria in Infinite-Horizon MDPs

Quanyan Zhu, Zhengye Han ยท 2026

We study sequential decision-making when the agent's internal model class is misspecified. Within the infinite-horizon Berk-Nash framework, stable behavior arises as a fixed point: the agent acts optiโ€ฆ

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SAIL: Unsupervised Spatial-Angular Interpretable Feature Learning for RF Map Synthesis

Sopan Sarkar, Marwan Krunz ยท 2026

In wireless networks, radio-frequency (RF) maps are critical for tasks such as capacity planning, coverage estimation, and localization. Traditional approaches for obtaining RF maps, including site suโ€ฆ

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Dynamic Wholesale Pricing under Censored-Demand Learning

Michalis Deligiannis, Marco Scarsini, Xavier Venel ยท 2026

We study a finite-horizon dynamic wholesale-price contract between a manufacturer and a retailer, both of whom observe only sales, rather than the true demand. When the retailer stocks out, unmet demaโ€ฆ

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An Empirical Investigation of Pre-Trained Deep Learning Model Reuse in the Scientific Process

Nicholas M. Synovic, Karolina Ryzka, Alessandra V. Vellucci Solari, Kenny Lyons, James C. Davis, George K. Thiruvathukal ยท 2026

Deep learning has achieved recognition for its impact within natural sciences, however scientists are inhibited by the prohibitive technical cost and computational complexity of training project speciโ€ฆ

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Daily Affect Fluctuations in Phone Screen Content Predict Anxiety and Depressive Symptoms

Christopher A. Kelly, Yikun Chi, Nicholas Haber, Byron Reeves, Mu-Jung Cho, Thomas N. Robinson, Nilam Ram, Johannes C. Eichstaedt ยท 2026

The relationship between digital media use and mental health remains poorly understood, in part because real-world digital behavior is rarely captured at scale. This intensive longitudinal study trackโ€ฆ

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Goal-Oriented Learning at the Edge: Graph Neural Networks Over-the-Air for Blockage Prediction

Lorenzo Mario Amorosa, Zhan Gao, Tony Chahoud, Yiqun Wu, Lukas Eller, Marco Skocaj, Roberto Verdone ยท 2026

Sixth-generation (6G) wireless networks evolve from connecting devices to connecting intelligence. The focus turns to Goal-Oriented Communications, where the effectiveness of communication is assessedโ€ฆ

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Human-in-the-Loop LLM Grading for Handwritten Mathematics Assessments

Arne Vanhoyweghen, Vincent Holst, Melika Mobini, Lukas Van de Voorde, Tibo Vanleke, Bert Verbruggen, Brecht Verbeken, Andres Algaba, Sam Verboven, Marie-Anne Guerry, Filip Van Droogenbroeck, Vincent Ginis ยท 2026

Providing timely and individualised feedback on handwritten student work is highly beneficial for learning but difficult to achieve at scale. This challenge has become more pressing as generative AI uโ€ฆ

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Before and After ChatGPT: Revisiting AI-Based Dialogue Systems for Emotional Support

Daeun Lee, Dongje Yoo, Migyeong Yang, Jihyun An, Christine B. Cha, Jinyoung Han ยท 2026

Mental health remains a major public health concern, while access to timely psychological support is often limited. AI-based dialogue systems have emerged as promising tools to address these barriers,โ€ฆ

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Computer Science Preprint PDF DOI

daVinci-Env: Open SWE Environment Synthesis at Scale

Dayuan Fu, Shenyu Wu, Yunze Wu, Zerui Peng, Yaxing Huang, Jie Sun, Ji Zeng, Mohan Jiang, Lin Zhang, Yukun Li, Jiarui Hu, Liming Liu, Jinlong Hou, Pengfei Liu ยท 2026

Training capable software engineering (SWE) agents demands large-scale, executable, and verifiable environments that provide dynamic feedback loops for iterative code editing, test execution, and soluโ€ฆ

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ARL-Tangram: Unleash the Resource Efficiency in Agentic Reinforcement Learning

Bangjun Xiao, Yihao Zhao, Xiangwei Deng, Shihua Yu, Yuxing Xiang, Huaqiu Liu, Qiying Wang, Liang Zhao, Hailin Zhang, Xuanzhe Liu, Xin Jin, Fuli Luo ยท 2026

Agentic reinforcement learning (RL) has emerged as a transformative workload in cloud clusters, enabling large language models (LLMs) to solve complex problems through interactions with real world. Hoโ€ฆ

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Integration of Deep Reinforcement Learning and Agent-based Simulation to Explore Strategies Counteracting Information Disorder

Luigi Lomasto, Andrea Camoia, Alfonso Guarino, Nicola Lettieri, Delfina Malandrino, Rocco Zaccagnino ยท 2026

In recent years, the spread of fake news has triggered a growing interest in Information Disorders (ID) on social media, a phenomenon that has become a focal point of research across fields ranging frโ€ฆ

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Computer Science Preprint PDF DOI

JCAS-MARL: Joint Communication and Sensing UAV Networks via Resource-Constrained Multi-Agent Reinforcement Learning

Islam Guven, Mehmet Parlak ยท 2026

Multi-UAV networks are increasingly deployed for large-scale inspection and monitoring missions, where operational performance depends on the coordination of sensing reliability, communication qualityโ€ฆ

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