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

HELIX: Scaling Raw Audio Understanding with Hybrid Mamba-Attention Beyond the Quadratic Limit

Khushiyant, Param Thakkar ยท 2026

Audio representation learning typically evaluates design choices such as input frontend, sequence backbone, and sequence length in isolation. We show that these axes are coupled, and conclusions from โ€ฆ

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DeepXplain: XAI-Guided Autonomous Defense Against Multi-Stage APT Campaigns

Trung V. Phan, Thomas Bauschert ยท 2026

Advanced Persistent Threats (APTs) are stealthy, multi-stage attacks that require adaptive and timely defense. While deep reinforcement learning (DRL) enables autonomous cyber defense, its decisions aโ€ฆ

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Unpacking Interaction Profiles and Strategies in Human-AI Collaborative Problem Solving: A Cognitive Distribution and Regulation Perspective

Zhanxin Hao, Xiaobo Liu, Jiaxin Fan, Yun Long, Jifan Yu, Wenli Chen, Yu Zhang ยท 2026

This study adopts an integrated distributed cognition and regulation of learning perspective to examine the collaboration patterns and dynamics of human-AI collaboration when college students collaborโ€ฆ

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From Natural Language to Executable Properties for Property-based Testing of Mobile Apps

Yiheng Xiong, Ting Su, Jingling Sun, Jue Wang, Qin Li, Geguang Pu, Zhendong Su ยท 2026

Property-based testing (PBT) is a popular software testing methodology and is effective in validating the functionality of mobile applications (apps for short). However, its adoption in practice remaiโ€ฆ

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MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation

Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo ยท 2026

Conversion rate (CVR) prediction models play a vital role in recommendation and advertising systems. Recent research on multi-scenario recommendation shows that learning a unified model to serve multiโ€ฆ

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Learning to Optimize Joint Source and RIS-assisted Channel Encoding for Multi-User Semantic Communication Systems

Haidong Wang, Songhan Zhao, Bo Gu, Shimin Gong, Hongyang Du, Ping Wang ยท 2026

In this paper, we explore a joint source and reconfigurable intelligent surface (RIS)-assisted channel encoding (JSRE) framework for multi-user semantic communications, where a deep neural network (DNโ€ฆ

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DRL-driven Online Optimization for Joint Traffic Reshaping and Channel Reconfiguration in RIS-assisted Semantic NOMA Communications

Songhan Zhao, Shimin Gong, Bo Gu, Zehui Xiong, Ping Wang, Kaibin Huang ยท 2026

This paper explores a reconfigurable intelligent surface (RIS)-assisted and semantic-aware wireless network, where multiple semantic users (SUs) transmit semantic information to an access point (AP) uโ€ฆ

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Generative Artificial Intelligence Assisted Multi-modal Semantic Extraction for NOMA-based Image Transmissions

Songhan Zhao, Shimin Gong, Bo Gu, Hongyang Du, Xidong Mu, Zehui Xiong, Yuming Fang ยท 2026

In this paper, we investigate a generative artificial intelligence (GAI)-assisted semantic communication framework for non-orthogonal multiple access (NOMA)-based image transmissions. Semantic users (โ€ฆ

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OrbitStream: Training-Free Adaptive 360-degree Video Streaming via Semantic Potential Fields

Aizierjiang Aiersilan, Zhangfei Yang ยท 2026

Adaptive 360{\deg} video streaming for teleoperation faces dual challenges: viewport prediction under uncertain gaze patterns and bitrate adaptation over volatile wireless channels. While data-driven โ€ฆ

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Decoding AI Tutor Effects for Educational Measurement: Temporal, Multi-Outcome, and Behavior-Cognitive Analysis

Yiyao Yang, Yasemin Gulbahar ยท 2026

Artificial intelligence (AI) tutors have become increasingly popular in learning environments. In this study, we propose an AI agent prototype framework for exploring AI-assisted learning with temporaโ€ฆ

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Cyber Deception for Mission Surveillance via Hypergame-Theoretic Deep Reinforcement Learning

Zelin Wan, Jin-Hee Cho, Mu Zhu, Ahmed H. Anwar, Charles Kamhoua, Munindar P. Singh ยท 2026

Unmanned Aerial Vehicles (UAVs) are valuable for mission-critical systems like surveillance, rescue, or delivery. Not surprisingly, such systems attract cyberattacks, including Denial-of-Service (DoS)โ€ฆ

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Communication Lower Bounds and Algorithms for Sketching with Random Dense Matrices

Hussam Al Daas, Grey Ballard, Laura Grigori, Md Taufique Hussain, Suraj Kumar, Mohammad Marufur Rahman, Kathryn Rouse ยท 2026

Sketching is widely used in randomized linear algebra for low-rank matrix approximation, column subset selection, and many other problems, and it has gained significant traction in machine learning apโ€ฆ

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Deep Adaptive Rate Allocation in Volatile Heterogeneous Wireless Networks

Gregorio Maglione, Veselin Rakocevic, Markus Amend, Touraj Soleymani ยท 2026

Modern multi-access 5G+ networks provide mobile terminals with additional capacity, improving network stability and performance. However, in highly mobile environments such as vehicular networks, suppโ€ฆ

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Democratizing AI: A Comparative Study in Deep Learning Efficiency and Future Trends in Computational Processing

Lisan Al Amin, Md Ismail Hossain, Rupak Kumar Das, Mahbubul Islam, Abdulaziz Tabbakh ยท 2026

The exponential growth in data has intensified the demand for computational power to train large-scale deep learning models. However, the rapid growth in model size and complexity raises concerns abouโ€ฆ

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TRACE: Traceroute-based Internet Route change Analysis with Ensemble Learning

Raul Suzuki, Rodrigo Moreira, Pedro Henrique A. Damaso de Melo, Larissa F. Rodrigues Moreira, Flavio de Oliveira Silva ยท 2026

Detecting Internet routing instability is a critical yet challenging task, particularly when relying solely on endpoint active measurements. This study introduces TRACE, a MachineLearning (ML)pipelineโ€ฆ

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negMIX: Negative Mixup for OOD Generalization in Open-Set Node Classification

Junwei Gong, Xiao Shen, Zhihao Chen, Shirui Pan, Xiao Wang, Xi Zhou ยท 2026

Open-set node classification (OSNC) allows unlabeled test data to contain novel classes previously unseen in the labeled data. The goal is to classify in-distribution (ID) nodes into corresponding knoโ€ฆ

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Mitigating Temporal Blindness in Kubernetes Autoscaling: An Attention-Double-LSTM Framework

Faraz Shaikh, Gianluca Reali, Mauro Femminella ยท 2026

In the emerging landscape of edge computing, the stochastic and bursty nature of serverless workloads presents a critical challenge for autonomous resource orchestration. Traditional reactive controllโ€ฆ

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SNAP: Speaker Nulling for Artifact Projection in Speech Deepfake Detection

Kyudan Jung, Jihwan Kim, Minwoo Lee, Soyoon Kim, Jeonghoon Kim, Jaegul Choo, Cheonbok Park ยท 2026

Recent advancements in text-to-speech technologies enable generating high-fidelity synthetic speech nearly indistinguishable from real human voices. While recent studies show the efficacy of self-supeโ€ฆ

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REVERE: Reflective Evolving Research Engineer for Scientific Workflows

Balaji Dinesh Gangireddi, Aniketh Garikaparthi, Manasi Patwardhan, Arman Cohan ยท 2026

Existing prompt-optimization techniques rely on local signals to update behavior, often neglecting broader and recurring patterns across tasks, leading to poor generalization; they further rely on fulโ€ฆ

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Hierarchical Reinforcement Learning for Next Generation of Multi-AP Coordinated Spatial Reuse

Ziru Chen, Salvatore Talarico, Qing Xia, Xihan Peng, Xing Hao, Lin X. Cai ยท 2026

In next generation of Wi-Fi networks Multiple Access Point Coordination (MAPC) is poised to significantly enhance the network performance by enabling a set of Access Points (APs) to coordinate with eaโ€ฆ

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