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

UniMotion: Self-Supervised Learning for Cross-Domain IMU Motion Recognition

Prerna Khanna, Tanmay Srivastava, Shubham Jain, Aruna Balasubramanian ยท 2026

IMU-based gesture interfaces are being increasingly adopted as efficient, accessible, and intuitive alternatives to traditional input methods, such as touchscreens and voice. However, current gesture โ€ฆ

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Coalgebraic Path Constraints

Todd Schmid ยท 2026

Axiomatizing covarieties of coalgebras for an endofunctor is less intuitive than axiomatizing varieties of algebras via equations (Dahlqvist and Schmid, 2022). Existing techniques come from coalgebraiโ€ฆ

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Opinion Dynamics in Learning Systems

Jiduan Wu, Rediet Abebe, Celestine Mendler-Dunner ยท 2026

We propose and analyze a unified framework that interleaves peer-to-peer opinion dynamics with performative effects of learning systems. While network theory studies how opinions evolve via social conโ€ฆ

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EmbTracker: Traceable Black-box Watermarking for Federated Language Models

Haodong Zhao, Jinming Hu, Yijie Bai, Tian Dong, Wei Du, Zhuosheng Zhang, Yanjiao Chen, Haojin Zhu, Gongshen Liu ยท 2026

Federated Language Model (FedLM) allows a collaborative learning without sharing raw data, yet it introduces a critical vulnerability, as every untrustworthy client may leak the received functional moโ€ฆ

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Intelligent 6G Edge Connectivity: A Knowledge Driven Optimization Framework for Small Cell Selection

Tugce Bilen, Ian F. Akyildiz ยท 2026

Sixth-generation (6G) wireless networks are expected to support immersive and mission-critical applications requiring ultra-reliable communication, sub-second responsiveness, and multi-Gbps data ratesโ€ฆ

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AGMARL-DKS: An Adaptive Graph-Enhanced Multi-Agent Reinforcement Learning for Dynamic Kubernetes Scheduling

Hamed Hamzeh ยท 2026

State-of-the-art cloud-native applications require intelligent schedulers that can effectively balance system stability, resource utilisation, and associated costs. While Kubernetes provides feasibiliโ€ฆ

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Neuro-Symbolic Generation and Validation of Memory-Aware Formal Function Specifications

Liao Zhang, Tong Chen, Xiwei Wu, Qi Liu, Xiyu Zhai, Xinqi Wang, Qinxiang Cao ยท 2026

Formal verification of memory-manipulating programs critically depends on precise function specifications that capture memory states written by experts. This requirement has become a major bottleneck โ€ฆ

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The professional's opinion: Suggestions for improving the corporate education training process in Software Engineering

Rodrigo Siqueira, Danilo Monteiro Ribeiro ยท 2026

Technology organizations continuously invest in professional development, but face difficulties in transferring learning to project practice. This exploratory qualitative study investigates which imprโ€ฆ

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Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case

Diego Cajaraville-Aboy, Ana Fernandez-Vilas, Rebeca P. Diaz-Redondo, Manuel Fernandez-Veiga, Pablo Picallo-Lopez ยท 2026

Distributed AI and IoT applications increasingly execute across heterogeneous resources spanning end devices, edge/fog infrastructure, and cloud platforms, often under different administrative domainsโ€ฆ

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A Collaborative and Pattern-Based Training Approach to Knowledge Acquisition and Decision-Making During the Design of Software Architectures Courses: A Case Study

Wilson Libardo Pantoja Yepez, Luis Mariano Bibbo, Julio Ariel Hurtado Alegria ยท 2026

This article describes a collaborative learning experience on Software Architecture (SA) between Universidad del Cauca (UNICAUCA) in Colombia and Universidad Nacional de la Plata (UNPL) in Argentina. โ€ฆ

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MRGEN: A Conceptual Framework for LLM-Powered Mixed Reality Authoring Tools for Education

Mohammed Oussama Seddini (LIUM), Mohamed Ez-Zaouia (UR, IRISA, DRUID), Ngoc Luyen Le (Heudiasyc), Iza Marfisi (LIUM, IUT Laval) ยท 2026

Mixed Reality (MR) offers immersive and multimodal opportunities for education but remains difficult for teachers to author without technical expertise. We propose MRGEN, a conceptual framework for LLโ€ฆ

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HyperCroc: End-to-End Open-Source RISC-V MCU with a Plug-In Interface for Domain-Specific Accelerators

Philippe Sauter, Thomas Benz, Paul Scheffler, Luca Benini ยท 2026

Domain-Specific architectures with accelerators for machine learning and signal processing require efficient bulk data movement and high-bandwidth access to large datasets. Such capabilities are oftenโ€ฆ

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Partitioning Israeli Municipalities into Politically Homogeneous Cantons: A Constrained Spatial Clustering Approach

Adir Elmakais, Oren Glickman ยท 2026

Israeli society has experienced significant political polarization in recent years, reflected in five Knesset elections held within a four-year period (2019-2022). Public discourse increasingly refereโ€ฆ

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Causal Prosody Mediation for Text-to-Speech:Counterfactual Training of Duration, Pitch, and Energy in FastSpeech2

Suvendu Sekhar Mohanty ยท 2026

We propose a novel causal prosody mediation framework for expressive text-to-speech (TTS) synthesis. Our approach augments the FastSpeech2 architecture with explicit emotion conditioning and introduceโ€ฆ

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Resonate: Reinforcing Text-to-Audio Generation via Online Feedback from Large Audio Language Models

Xiquan Li, Junxi Liu, Wenxi Chen, Haina Zhu, Ziyang Ma, Xie Chen ยท 2026

Reinforcement Learning (RL) has become an effective paradigm for enhancing Large Language Models (LLMs) and visual generative models. However, its application in text-to-audio (TTA) generation remainsโ€ฆ

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Federated Learning and Unlearning for Recommendation with Personalized Data Sharing

Liang Qu, Jianxin Li, Wei Yuan, Shangfei Zheng, Lu Chen, Chengfei Liu, Hongzhi Yin ยท 2026

Federated recommender systems (FedRS) have emerged as a paradigm for protecting user privacy by keeping interaction data on local devices while coordinating model training through a central server. Hoโ€ฆ

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Highly Autonomous Cyber-Capable Agents: Anticipating Capabilities, Tactics, and Strategic Implications

Jam Kraprayoon, Shaun Ee, Brianna Rosen, Yohan Matthew, Aditya Singh, Christopher Covino, Asher Brass Gershovich ยท 2026

This report introduces the concept of "Highly Autonomous Cyber-Capable Agents" (HACCAs), AI systems capable of autonomously conducting multi-stage cyber campaigns at a level comparable to today's top โ€ฆ

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From Pre-trained Models to Large Language Models: A Comprehensive Survey of AI-Driven Psychological Computing

Huiyao Chen, Ruimeng Liu, Yan Luo, Jiawen Zhang, Meishan Zhang, Baotian Hu, Min Zhang ยท 2026

The intersection of artificial intelligence and psychological science has experienced remarkable growth, with annual publications expanding from 859 papers in 2000 to 29,979 by 2025. However, this rapโ€ฆ

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Complex-Valued Probability Measures and Their Applications in Information Theory

Siang Cheng, Hejun Xu, Tianxiao Pang ยท 2026

This paper introduces a comprehensive framework for complex-valued probability measures and explores their novel applications in information theory and statistical analysis. We define a complex probabโ€ฆ

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EducaSim: Interactive Simulacra for CS1 Instructional Practice

Cameron Mohne, Nicholas Vo, Dora Demszky, Chris Piech ยท 2026

Role play is a high-impact mode of training that has demonstrated its effectiveness in improving learning outcomes. However, it is difficult to scale to teacher instruction due to its inherent dependeโ€ฆ

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