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Multi-Length Skills with Priors for Reinforcement Learning
(ACM, 2025-02-20)Leveraging prior experience has been effective in accelerating reinforcement learning (RL). One approach for leveraging prior experience consists of learning skills, which are temporally extended sequences of actions, and ... -
Enhancing Image Restoration through Hybrid VQVAE and Transformer Architectures: A Novel Approach
(2024-12-20)Image restoration is essential for enhancing the quality and utility of degraded images in various applications such as autonomous driving and robotics. Traditional convolutional neural network (CNN) approaches, while ... -
Refining Neural Network with Symbolic Regression
(2025-07-14)Classical neural network (NN) compression methods, such as NN pruning and distillation, focus on reducing the NN size. However, these methods often sacrifice accuracy in the process. To address this issue, we propose a ... -
Celebrating 25 Years of Document Engineering
(2025-08-27) -
Saliency-Guided Lightweight Backdoor Defense for Edge Intelligence
(2025-12-03)The expansion of edge intelligence across diverse devices and sites significantly broadens the attack surface, making backdoor attacks a critical security threat. Existing backdoor trigger mitigation methods rely heavily ... -
Poster: A Lightweight Pruning for Mitigating Neural Network Backdoor on Edge
(2025-12-03)Image-based neural networks are widely used across diverse applications, yet their inherent susceptibility to backdoor attacks has raised growing concerns. In particular, data-free backdoor attacks, which exploit benign ... -
How Heavy is the Edge? Resource Utilization of Edge Generative AI on Distributed AI Infrastructure
(2025-12-03)Distributed AI infrastructures are extensively employed in cloud industry settings to accommodate the growing demands of AI services. However, extending such infrastructures to the edge remains under exploration. This study ... -
Risk Prediction and Interpretation for Fall Events Using Explainable AI and Large Language Models
(2025-05-16)Falls represent a significant public health concern, particularly among older adults, with approximately 35.6 million cases annually in the United States alone. Traditional machine learning-based fall risk prediction methods ... -
Multi-Level Explainable AI for ECG-Based Atrial Fibrillation Detection: Exploring LIME, SHAP, and Grad-CAM for Clinical Interpretation
(2025-05-16)Atrial fibrillation (AFib) detection through ECG interpretation remains a critical yet complex task in clinical settings. While deep learning models have shown promise in automated ECG analysis, their "black box" nature ... -
Empire of Extraction: Frontier Capitalism in Milwaukee
(2024-11-26) -
Fundamental Methods of Logic
(2016) -
Reading When Stressed: Understanding Motivations for Reading Fiction and Enhancing Future Recommendation Services
(2024)This study investigated fiction readers’ motivations for reading, their relevant needs regarding the fiction attributes, and their expectations for future fiction recommendation services. Seventy-six participants shared ... -
Adventurers and Algorithms: AI and the Evolution of TTRPG Gameplay
(2025)Modern tabletop role-playing games (TTRPGs) have received increasing attention in library and educational contexts due to their ability to serve as an alternative experiential learning opportunity. However, common TTRPG ... -
Unveiling Neural Network Data Free Backdoor Threats in Industrial Control Systems
(ACM, 2023-11-20)The neural network data-free backdoor attack is an emerging and potent threat, which requires minimal resources and does not rely on original training data to implant backdoors. This threat poses a significant risk to ... -
Images Connect Us Together: Navigating a COVID-19 Local Outbreak in China Through Social Media Images
(ACM, 2024-04-23)Social media images, curated or casual, have become a crucial component of communicating situational information and emotions during health crises. Despite its prevalence and significance in informational dissemination and ... -
Engage Wider Audience or Facilitate Quality Answers? a Mixed-methods Analysis of Questioning Strategies for Research Sensemaking on a Community Q&A Site
(ACM, 2024-04-23)Discussing research-sensemaking questions on Community Question and Answering (CQA) platforms has been an increasingly common practice for the public to participate in science communication. Nonetheless, how users strategically ...
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