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

GPUOS: A GPU Operating System Primitive for Transparent Operation Fusion

Yiwei Yang, Xiangyu Gao, Yuan Zhou, Yuhang Gan, Yusheng Zheng, Andi Quinn ยท 2026

Modern deep learning workloads often consist of many small tensor operations, especially in inference, attention, and micro-batched training. In these settings, kernel launch overhead can become a majโ€ฆ

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Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research

Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzon Hernandez, Reza Yazdanfar, Michelle Dugas, Renos Vakis ยท 2026

General-purpose LLMs pose misinformation risks for development and policy experts, lacking epistemic humility for verifiable outputs. We present AVA (AI + Verified Analysis), a GenAI platform built onโ€ฆ

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Computer Science Preprint PDF DOI

AsyncSparse: Accelerating Sparse Matrix-Matrix Multiplication on Asynchronous GPU Architectures

Jie Liu, Huanzhi Pu, Zhiru Zhang ยท 2026

Sparse Matrix-Matrix Multiplication (SpMM) is a fundamental kernel across scientific computing and machine learning. While prior work accelerates SpMM using Tensor Cores, no existing sparse kernel expโ€ฆ

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Teaching Usable Privacy in HCI Education: Designing, Implementing, and Evaluating an Active Learning Graduate Course

Sanchari Das, Dhiman Goswami, Michelle Melo, Aditya Johri, Vivian G. Motti ยท 2026

As digital systems increasingly rely on pervasive data collection and inference, educating future designers and researchers about Usable Privacy has become a critical need for HCI. However, privacy edโ€ฆ

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Computer Science Preprint PDF DOI

Position: No Retroactive Cure for Infringement during Training

Satoru Utsunomiya, Masaru Isonuma, Junichiro Mori, Ichiro Sakata ยท 2026

As generative AI faces intensifying legal challenges, the machine learning community has increasingly relied on post-hoc mitigation -- especially machine unlearning and inference-time guardrails -- toโ€ฆ

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Community-Led AI Integration for Wildfire Risk Assessment: A Participatory AI Literacy and Explainability Integration (PALEI) Framework in Los Angeles, CA

Sanaz Sadat Hosseini, Mona Azarbayjani, Mohammad Pourhomayoun, Hamed Tabkhi ยท 2026

Climate-driven wildfires are intensifying, particularly in urban regions such as Southern California. Yet, traditional fire risk communication tools often fail to gain public trust due to inaccessibleโ€ฆ

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Computer Science Preprint PDF DOI

FedCRF: A Federated Cross-domain Recommendation Method with Semantic-driven Deep Knowledge Fusion

Lei Guo, Ting Yang, Hui Liu, Xu Yu, Xiaohui Han, Xinhua Wang ยท 2026

As user behavior data becomes increasingly scattered across different platforms, achieving cross-domain knowledge fusion while preserving privacy has become a critical issue in recommender systems. Exโ€ฆ

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MasterSet: A Large-Scale Benchmark for Must-Cite Citation Recommendation in the AI/ML Literature

Md Toyaha Rahman Ratul, Zhiqian Chen, Kaiqun Fu, Taoran Ji, Lei Zhang ยท 2026

The explosive growth of AI and machine learning literature -- with venues like NeurIPS and ICLR now accepting thousands of papers annually -- has made comprehensive citation coverage increasingly diffโ€ฆ

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Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach

Rahul K. Dass, Shubham Puri, Arpit Khandelwal, Xiao Jin, Ashok K. Goel ยท 2026

Scalable AI tutoring for procedural skill learning requires structured knowledge representations, yet constructing these representations remains a labor-intensive bottleneck. This paper introduces a nโ€ฆ

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Terminal Wrench: A Dataset of 331 Reward-Hackable Environments and 3,632 Exploit Trajectories

Ivan Bercovich, Ivgeni Segal, Kexun Zhang, Shashwat Saxena, Aditi Raghunathan, Ziqian Zhong ยท 2026

We release Terminal Wrench, a subset of 331 terminal-agent benchmark environments, copied from the popular open benchmarks that are demonstrably reward-hackable. The data set includes 3,632 hack trajeโ€ฆ

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Flint: Compiler Enabled Cluster-Free Design Space Exploration for Distributed ML

Jinsun Yoo, Meghan Cowan, Zheng Du, Changhai Man, Srinivas Sridharan, Tushar Krishna ยท 2026

Design space exploration for future distributed Machine Learning systems suffers from a lack of readily available workload representation that enables flexible exploration across the stack. We presentโ€ฆ

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Real-Time Cellist Postural Evaluation With On-Device Computer Vision

Paolo Wang, Michael Zhang, Shrinand Perumal, Ekaterina Tszyao, Luke Choi, Kexin Sha, Felix Lu, Paige Lorenz, Jackson P. Shields, Sivamurugan Velmurugan, Joshua Kamphuis, William P. Jiang, Gurtej Bagga, Trevor Ju, Raymond Otis Kwon, Kristen Yeon-Ji Yun, Yung-Hsiang Lu ยท 2026

Posture is a critical factor for beginning instrumental learners. Most students receive instruction only once a week, and during the intervals between lessons they have little or no feedback on their โ€ฆ

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Explainable Attention-Based LSTM Framework for Early Detection of AI-Assisted Ransomware via File System Behavioral Analysis

Prabhudarshi Nayak, Gogulakrishnan Thiyagarajan, Debashree Priyadarshini, Vinay Bist, Rohan Swain ยท 2026

Ransomware continues to evolve as one of the most disruptive cyber threats, with recent variants increasingly leveraging automated and AI-assisted techniques to evade traditional signature-based defenโ€ฆ

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Learning Unanimously Acceptable Lotteries via Queries

Davin Choo, Paul W. Goldberg, Nicholas Teh ยท 2026

Many high-stakes AI deployments proceed only if every stakeholder deems the system acceptable relative to their own minimum standard. With randomization over a finite menu of options, this becomes a fโ€ฆ

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Agentic Education: Using Claude Code to Teach Claude Code

Zain Naboulsi ยท 2026

AI coding assistants have proliferated rapidly, yet structured pedagogical frameworks for learning these tools remain scarce. Developers face a gap between tool documentation and practical mastery, reโ€ฆ

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RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification

Nick Andreasyan, Mikhail Struve, Alexey Popov, Maksim Nikolaev, Vadim Vashkelis ยท 2026

RISC-V is emerging as a viable platform for automotive-grade embedded computing, with recent ISO 26262 ASIL-D certifications demonstrating readiness for safety-critical deployment in autonomous drivinโ€ฆ

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Active Inference-Based Adaptive Routing for Heterogeneous Edge AI Services

Zihang Wang, Boris Sedlak, Schahram Dustdar ยท 2026

Edge computing enables AI inference closer to data sources, reducing latency and bandwidth costs. However, orchestrating AI services across the cloud-edge continuum remains challenging due to dynamic โ€ฆ

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A Pilot Study on Detecting Software Design Patterns with Large Language Models: An Empirical Evaluation

Oishik Chowdhury, Bastin Tony Roy Savarimuthu, Sherlock A. Licorish ยท 2026

Design patterns provide reusable solutions to recurring software design problems. Automatically detecting these patterns in source code can help bootstrap new developers' understanding of unfamiliar sโ€ฆ

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Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda

Minxian Xu, Jingfeng Wu, Shengye Song, Satish Narayana Srirama, Bahman Javad, Rajiv Ranjan, Devki Nandan Jha, Sa Wang, Wenhong Tian, Huanle Xu, Li Li, Zizhao Mo, Shuo Ren, Thomas Kunz, Petar Kochovski, Vlado Stankovski, Kejiang Ye, Chengzhong Xu, Rajkumar Buyya ยท 2026

The rapid rise of Large Language Models (LLMs) has revolutionized various artificial intelligence (AI) applications, from natural language processing to code generation. However, the computational demโ€ฆ

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Virtual boundary integral neural network for three-dimensional exterior acoustic problems

Jiahao Li, Qiang Xi, Ilia Marchevskiy, Zhuojia Fu ยท 2026

This paper presents a virtual boundary integral neural network (VBINN) for exterior acoustic problems in three dimensions. The method introduces a virtual boundary inside the scatterer or vibrating boโ€ฆ

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