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

Closing the Loop: A Software Framework for AI to Support Business Decision Making

Jeffrey Wong, Antoine Creux ยท 2026

Create an idea, prototype it, evaluate if users like it, then learn. It is the circle of business. If AI can operate in all parts of the circle, it will enable rapid iteration and learning speeds for โ€ฆ

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Versioned Late Materialization for Ultra-Long Sequence Training in Recommendation Systems at Scale

Liang Guo, Ge Song, Litao Deng, Jianhui Sun, Chufeng Hu, Lu Zhang, Zhen Ma, Shouwei Chen, Weiran Liu, Sarang Masti Sreeshylan, Xiaoxuan Meng ยท 2026

Modern Deep Learning Recommendation Models (DLRMs) follow scaling laws with sequence length, driving the frontier toward ultra-long User Interaction History (UIH). However, the industry-standard "Fat โ€ฆ

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Learning is Revelation in Disguise: Improved Regret and Equivalence Results for Dynamic Pricing

Shiliang Zuo ยท 2026

We study dynamic pricing where a seller repeatedly interacts with a strategic, non-myopic buyer who has a fixed private valuation and discounts future utility. Prior work focused exclusively on postedโ€ฆ

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Computer Science Preprint PDF DOI

Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising

Sijia Li, Min Gao, Zongwei Wang, Zhiyi Liu, Xin Xia, Yi Zhang ยท 2026

Sequential recommendation seeks to model the evolution of user interests by capturing temporal user intent and item-level transition patterns. Transformer-based recommenders demonstrate a strong capacโ€ฆ

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QubitQuest: Learning Quantum Computing through Mini-Games

Bella Hill, Miguel Morales-Trujillo ยท 2026

Quantum Computing (QC) is often challenging for beginners due to its abstract concepts and mathematical foundations. This paper explores the use of gamification to support the learning of introductoryโ€ฆ

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Computer Science Preprint PDF DOI

Distributed Electromagnetic Neural Networks for Task-Oriented Semantic Communications

Jinbao Li, Jiancheng An, Hao Liu, Lu Gan, Victor C. M. Leung, Mehdi Bennis, Merouane Debbah ยท 2026

Semantic communications (SemCom) is a promising paradigm that prioritizes the transmission of task-relevant information, thereby enabling superior communication efficiency over traditional bit-centricโ€ฆ

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Computer Science Preprint PDF DOI

MUSIC: Learning Muscle-Driven Dexterous Hand Control

Pei Xu, Yufei Ye, Shuchun Sun, Yu Ding, Elizabeth Schumann, C. Karen Liu ยท 2026

We present a data-driven approach for physics-based, muscle-driven dexterous control that enables musculoskeletal hands to perform precise piano playing for novel pieces of music outside the referenceโ€ฆ

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Computer Science Preprint PDF DOI

RTCFake: Speech Deepfake Detection in Real-Time Communication

Jun Xue, Zhuolin Yi, Yihuan Huang, Yanzhen Ren, Yujie Chen, Cunhang Fan, Zicheng Su, Yonghong Zhang, Bo Cai ยท 2026

With the rapid advancement of speech generation technologies, the threat posed by speech deepfakes in real-time communication (RTC) scenarios has intensified. However, existing detection studies mainlโ€ฆ

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Talking Slide Avatars: Open-Source Multimodal Communication Approach for Teaching

Xinxing Wu ยท 2026

Slide-based teaching is widely used in higher education, yet in online, hybrid, and asynchronous contexts, slides often lose the instructor presence, narrative continuity, and expressive framing that โ€ฆ

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FlowPlace: Flow Matching for Chip Placement

Peng Xie, Ke Xue, Yunqi Shi, Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Chenjian Ding, Mingxuan Yuan, Chao Qian ยท 2026

Chip placement plays an important role in physical design. While generative models like diffusion models offer promising learning-based solutions, current methods have the following limitations: they โ€ฆ

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DRL-Based Antenna Position Optimization For MA-Assisted OTFS System Under Imperfect CSI

Maoyuan Wang, Qian Zhang, Yufei Zhao, Xuejun Cheng, Zheng Dong, Deqiang Wang, Yong Liang Guan ยท 2026

In this paper, we introduce movable antenna (MA) technology into orthogonal time frequency space (OTFS) systems to enable wavelength-level antenna position optimization under imperfect channel state iโ€ฆ

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Beyond Static Collision Handling: Adaptive Semantic ID Learning for Multimodal Recommendation at Industrial Scale

Yongsen Pan, Yuxin Chen, Zheng Hu, Xu Yuan, Daoyuan Wang, Yuting Yin, Songhao Ni, Hongyang Wang, Jun Wang, Fuji Ren, Wenwu Ou ยท 2026

Modern recommendation systems involve massive catalogs of multimodal items, where scalable item identification must balance compactness, semantic fidelity, and downstream effectiveness. Semantic IDs (โ€ฆ

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SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models

Yin Lin, Tianjing Zeng, Zhongjun Ding, Rong Zhu, Bolin Ding, H. V. Jagadish, Jingren Zhou ยท 2026

Relational databases excel at structured data analysis, but real-world queries increasingly require capabilities beyond standard SQL, such as semantically matching entities across inconsistent names, โ€ฆ

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Scalable and Verifiable Federated Learning for Cross-Institution Financial Fraud Detection

Prajwal Panth, Nishant Nigam ยท 2026

The global financial ecosystem confronts a critical asymmetry: while fraud syndicates operate as borderless, distributed networks, banking institutions remain constrained by regulatory data silos, limโ€ฆ

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Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models

Gautam Kishore Shahi, Oliver Hummel ยท 2026

The relentless expansion of scientific literature presents significant challenges for navigation and knowledge discovery. Within Research Information Retrieval, established tasks such as text summarizโ€ฆ

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IIRSim Studio: A Dashboard for User Simulation

Saber Zerhoudi, Adam Roegiest, Michael Granitzer ยท 2026

User simulation is a valuable methodology for evaluation in Information Retrieval (IR), enabling low-cost experimentation and counterfactual analysis. However, existing simulation frameworks are primaโ€ฆ

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A Taxonomy and Resolution Strategy for Client-Level Disagreements in Federated Learning

Daan Rosendal, Ana Oprescu ยท 2026

Federated Learning (FL) typically assumes unconditional collaboration, a premise that overlooks the complexities of real-world, multi-stakeholder environments in which clients may need to exclude one โ€ฆ

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UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems

Jingyu Zhang, Jacky Wai Keung, Yan Xiao, Yihan Liao, Yishu Li, Xiaoxue Ma ยท 2026

Adversarial attacks play a pivotal role in testing and improving the reliability of deep learning (DL) systems. Existing literature has demonstrated that subtle perturbations to the input can elicit eโ€ฆ

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Empirical Insights of Test Selection Metrics under Multiple Testing Objectives and Distribution Shifts

Jingyu Zhang, Fan Wang, Jacky Keung, Yihan Liao, Yan Xiao, Lei Ma ยท 2026

Deep learning (DL)-based systems can exhibit unexpected behavior when exposed to out-of-distribution (OOD) scenarios, posing serious risks in safety-critical domains such as malware detection and autoโ€ฆ

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Advanced Anomaly Detection and Threat Intelligence in Zero Trust IoT Environments Using Machine Learning

Muhammad Umair Basharat, Jawad Hussain, Waqas Khalid, Chiew Foong Kwong ยท 2026

The growing adoption of IoT and cloud computing, combined with rapid advancements in digital technologies, has considerably increased the cyber-attack surface, resulting in increasingly complex and peโ€ฆ

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