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

Visual Decoding Operators: Towards a Compositional Theory of Visualization Perception

Sheng Long, Remco Chang, Eugene Wu, Alex Kale, Matthew Kay ยท 2026

Prior work on perceptual effectiveness has decomposed visualizations into smaller common units (e.g., channels such as angle, position, and length) to establish rankings. While useful, these decomposiโ€ฆ

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Computer Science Preprint PDF DOI

Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges

Srivaths Ranganathan, Abhishek Dharmaratnakar, Anushree Sinha, Debanshu Das ยท 2026

Video recommender systems are among the most popular and impactful applications of AI, shaping content consumption and influencing culture for billions of users. Traditional single-model recommenders,โ€ฆ

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Computer Science Preprint PDF DOI

QuantumXCT: Learning Interaction-Induced State Transformation in Cell-Cell Communication via Quantum Entanglement and Generative Modeling

Selim Romero, Shreyan Gupta, Robert S. Chapkin, James J. Cai ยท 2026

Inferring cell-cell communication (CCC) from single-cell transcriptomics remains fundamentally limited by reliance on curated ligand-receptor databases, which primarily capture co-expression rather thโ€ฆ

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Designing Transformational Games to Support Socio-ethical Reasoning about Generative AI

Jaemarie Solyst, Ruth Karen Nakigozi, Chloe Fong, R. Benjamin Shapiro ยท 2026

There is an increasing need for young people to become critically AI literate, understanding not only how AI works but also its limitations and ethical nuances. Yet, designing learning experiences thaโ€ฆ

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Intelligent Cloud Orchestration: A Hybrid Predictive and Heuristic Framework for Cost Optimization

Heet Nagoriya, Komal Rohit ยท 2026

Cloud computing allows scalable resource provisioning, but dynamic workload changes often lead to higher costs due to over-provisioning. Machine learning (ML) approaches, such as Long Short-Term Memorโ€ฆ

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Improving MPI Error Detection and Repair with Large Language Models and Bug References

Scott Piersall, Yang Gao, Shenyang Liu, Liqiang Wang ยท 2026

Message Passing Interface (MPI) is a foundational technology in high-performance computing (HPC), widely used for large-scale simulations and distributed training (e.g., in machine learning frameworksโ€ฆ

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Teaching Students to Question the Machine: An AI Literacy Intervention Improves Students' Regulation of LLM Use in a Science Task

O. Clerc, R. Abdelghani, C. Desvaux, E. Poisson, P.Y. Oudeyer, H. Sauzeon ยท 2026

The rapid adoption of generative artificial intelligence (GenAI) in schools raises concerns about students' uncritical reliance on its outputs. Effective use of large language models (LLMs) requires nโ€ฆ

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Training-Free Private Synthesis with Validation: A New Frontier for Practical Educational Data Sharing

Hibiki Ito, Chia-Yu Hsu, Hiroaki Ogata ยท 2026

While secondary use of real-world data (RWD) in education offers substantial research opportunities, data sharing is often limited by privacy constraints. Differentially private synthetic data generatโ€ฆ

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TestDecision: Sequential Test Suite Generation via Greedy Optimization and Reinforcement Learning

Guoqing Wang, Chengran Yang, Xiaoxuan Zhou, Zeyu Sun, Bo Wang, David Lo, Dan Hao ยท 2026

With the rapid evolution of LLMs, automated software testing is witnessing a paradigm shift. While proprietary models like GPT-4o demonstrate impressive capabilities, their high deployment costs and dโ€ฆ

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Spatial-Aware Conditioned Fusion for Audio-Visual Navigation

Shaohang Wu, Yinfeng Yu ยท 2026

Audio-visual navigation tasks require agents to locate and navigate toward continuously vocalizing targets using only visual observations and acoustic cues. However, existing methods mainly rely on siโ€ฆ

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AromaGen: Interactive Generation of Rich Olfactory Experiences with Multimodal Language Models

Yunge Wen, Awu Chen, Jianing Yu, Jas Brooks, Hiroshi Ishii, Paul Pu Liang ยท 2026

Smell's deep connection with food, memory, and social experience has long motivated researchers to bring olfaction into interactive systems. Yet most olfactory interfaces remain limited to fixed scentโ€ฆ

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CogPic: A Multimodal Dataset for Early Cognitive Impairment Assessment via Picture Description Tasks

Liuyu Wu, Rui Feng, Jie Li, Wentao Xiang, Yi Zhang, Yin Cao, Siyang Song, Xiao Gu, Jianqing Li, Wei Wang ยท 2026

The automated evaluation of cognitive status utilizing multimedia technologies presents a promising frontier in early dementia diagnosis. However, the development of robust machine learning models forโ€ฆ

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ModTrans: Translating Real-world Models for Distributed Training Simulator

Yi Lyu ยท 2026

Large-scale distributed training has been a research hot spot in machine learning systems for industry and academia in recent years. However, conducting experiments without physical machines and correโ€ฆ

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AI-Assisted Hardware Security Verification: A Survey and AI Accelerator Case Study

Khan Thamid Hasan, Md Ajoad Hasan, Nashmin Alam, Md. Touhidul Islam, Upoma Das, Farimah Farahmandi ยท 2026

As hardware systems grow in complexity, security verification must keep up with them. Recently, artificial intelligence (AI) and large language models (LLMs) have started to play an important role in โ€ฆ

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Sublinear-query relative-error testing of halfspaces

Xi Chen, Anindya De, Yizhi Huang, Shivam Nadimpalli, Rocco A. Servedio, Tianqi Yang ยท 2026

The relative-error property testing model was introduced in [CDHLNSY24] to facilitate the study of property testing for "sparse" Boolean-valued functions, i.e. ones for which only a small fraction of โ€ฆ

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Semantically Annotated Multimodal Dataset for RF Interpretation and Prediction

Steve Blandino, Jelena Senic, Raied Caromi, Samuel Berweger, Anuraag Bodi, Camillo Gentile, Nada Golmie ยท 2026

Current limitations in wireless modeling and radio frequency (RF)-based AI are primarily driven by a lack of high-quality, measurement-based datasets that connect RF signals to their physical environmโ€ฆ

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ReFormeR: Learning and Applying Explicit Query Reformulation Patterns

Amin Bigdeli, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri ยท 2026

We present ReFormeR, a pattern-guided approach for query reformulation. Instead of prompting a language model to generate reformulations of a query directly, ReFormeR first elicits short reformulationโ€ฆ

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Democratizing Foundations of Problem-Solving with AI: A Breadth-First Search Curriculum for Middle School Students

Griffin Pitts, Kimia Fazeli, Tirth Bhatt, Jennifer Albert, Marnie Hill, Tiffany Barnes, Shiyan Jiang, Bita Akram ยท 2026

As AI becomes more common in students' everyday experiences, a major challenge for K-12 AI education is designing learning experiences that can be meaningfully integrated into existing subject-area inโ€ฆ

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Evolutionary Multi-Objective Fusion of Deepfake Speech Detectors

Vojtech Stanek, Martin Peresini, Lukas Sekanina, Anton Firc, Kamil Malinka ยท 2026

While deepfake speech detectors built on large self-supervised learning (SSL) models achieve high accuracy, employing standard ensemble fusion to further enhance robustness often results in oversized โ€ฆ

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Assessing Affective Objectives for Communicative Visualizations

Elsie Lee-Robbins, Eytan Adar ยท 2026

Using learning objectives to define designer intents for communicative visualizations can be a powerful design tool. Cognitive and affective objectives are concrete and specific, which can be translatโ€ฆ

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