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Showing 64015 results for "machine learning" in Computer Science
Computer Science Preprint PDF DOI

SymphonyGen: 3D Hierarchical Orchestral Generation with Controllable Harmony Skeleton

Xuzheng He, Nan Nan, Zhilin Wang, Ziyue Kang, Zhuoru Mo, Ao Li, Yu Pan, Xiaobing Li, Feng Yu, Xiaohong Guan ยท 2026

Generating symphonic music requires simultaneously managing high-level structural form and dense, multi-track orchestration. Existing symbolic models often struggle with a "complexity-control imbalancโ€ฆ

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Computer Science Preprint PDF DOI

GeoSearch: Augmenting Worldwide Geolocalization with Web-Scale Reverse Image Search and Image Matching

Tung-Duong Le-Duc, Hoang-Quoc Nguyen-Son, Minh-Son Dao ยท 2026

Worldwide image geolocalization, which aims to predict the GPS coordinates of any image on Earth, remains challenging due to global visual diversity. Recent generative approaches based on Retrieval-Auโ€ฆ

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Co-Writing with AI: An Empirical Study of Diverse Academic Writing Workflows

Silvia Bodei, Duncan P. Brumby, Katie Fisher, Jon Mella ยท 2026

Despite AI tools becoming increasingly embedded in academic practice, little is known about how university students integrate them into their writing processes. We examine how students engage with AI โ€ฆ

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Computer Science Preprint PDF DOI

ML-SAN: Multi-Level Speaker-Adaptive Network for Emotion Recognition in Conversations

Kexue Wang, Yinfeng Yu, Liejun Wang ยท 2026

To establish empathy with machines, it is essential to fully understand human emotional changes. However, research in multimodal emotion recognition often overlooks one problem: individual expressive โ€ฆ

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Commit-Aware Learning-Based Test Case Prioritization for Continuous Integration

Lorenzo Abbondante, Gerardo Canfora ยท 2026

Regression testing in Continuous Integration (CI) pipelines is increasingly costly due to the growing size and execution frequency of test suites. Test Case Prioritization (TCP) mitigates this problemโ€ฆ

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Computer Science Preprint PDF DOI

Job-Scheduling Games with Time-Dependent Processing Times

Ido Borenstein, Tami Tamir ยท 2026

Job-scheduling games have traditionally assumed fixed processing times. However, in many realistic environments, ranging from cyber-security response to high-frequency trading, a task's duration depenโ€ฆ

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From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space

Pengyue Jia, Xiaobei Wang, Yingyi Zhang, Shuchang Liu, Yupeng Hou, Hailan Yang, Xu Gao, Xiaopeng Li, Yejing Wang, Julian McAuley, Xiang Li, Lantao Hu, Yongqi Liu, Kaiqiao Zhan, Han Li, Kun Gai, Xiangyu Zhao ยท 2026

In modern recommender systems, list-wise reranking serves as a critical phase within the multi-stage pipeline, finalizing the exposed item sequence and directly impacting user satisfaction by modelingโ€ฆ

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Computer Science Preprint PDF DOI

MARD: A Multi-Agent Framework for Robust Android Malware Detection

Xueying Zeng, Youquan Xian, Sihao Liu, Xudong Mou, Yanze Li, Lei Cui, Bo Li ยท 2026

With the rapid evolution of Android applications, traditional machine learning-based detection models suffer from concept drift. Additionally, they are constrained by shallow features, lacking deep seโ€ฆ

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Digital Twin-assisted belief-state reinforcement learning for latency-robust ISAC in 6G networks

Himanshu Tiwari, Binayak Kar, Priyanshu Tiwari ยท 2026

Integrated Sensing and Communication (ISAC) enables joint data transmission and environmental perception for sixth-generation (6G) networks, but centralized and virtualized RAN control loops introduceโ€ฆ

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Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions

Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read, Rajkumar Buyya ยท 2026

Microservice-based cloud applications face changing workloads, evolving request paths, variable network conditions, interference, and failures. These dynamics couple autoscaling, placement, routing, iโ€ฆ

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Making AI-Assisted Grant Evaluation Auditable without Exposing the Model

Kemal Bicakci ยท 2026

Public agencies are beginning to consider large language models (LLMs) as decision-support tools for grant evaluation. This creates a practical governance problem: the model and scoring rubric should โ€ฆ

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Optimization of Model Splitting, Placement, and Chaining for Multi-hop Split Learning and Inference

Takanori Hara, Masahiro Sasabe ยท 2026

Service Function Chaining (SFC) establishes efficient communication paths by ensuring that traffic traverses a predefined sequence of network functions in a specified order to meet particular service โ€ฆ

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How Can Reinforcement Learning Achieve Expert-level Placement?

Ruo-Tong Chen, Ke Xue, Chengrui Gao, Yunqi Shi, Tian Xu, Peng Xie, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou ยท 2026

Chip placement is a critical step in physical design. While reinforcement learning (RL)-based methods have recently emerged, their training primarily focuses on wirelength optimization, and therefore โ€ฆ

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AgentDID: Trustless Identity Authentication for AI Agents

Minghui Xu, Xiaoyu Liu, Yihao Guo, Chunchi Liu, Yue Zhang, Xiuzhen Cheng ยท 2026

AI agents are autonomous entities that can be instantiated on demand, migrate across platforms, and interact with other agents or services without continuous human supervision. In such environments, iโ€ฆ

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MGTEVAL: An Interactive Platform for Systemtic Evaluation of Machine-Generated Text Detectors

Yuanfan Li, Qi Zhou, Chengzhengxu Li, Zhaohan Zhang, Chenxu Zhao, Zepu Ruan, Chao Shen, Xiaoming Liu ยท 2026

We present MGTEVAL, an extensible platform for systematic evaluation of Machine-Generated Text (MGT) detectors. Despite rapid progress in MGT detection, existing evaluations are often fragmented acrosโ€ฆ

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UnIte: Uncertainty-based Iterative Document Sampling for Domain Adaptation in Information Retrieval

Jongyoon Kim, Minseong Hwang, Seung-won Hwang ยท 2026

Unsupervised domain adaptation generalizes neural retrievers to an unseen domain by generating pseudo queries on target domain documents. The quality and efficiency of this adaptation critically depenโ€ฆ

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8DNA: 8D Neural Asset Light Transport by Distribution Learning

Liwen Wu, Haolin Lu, Bing Xu, Milos Hasan, Ravi Ramamoorthi ยท 2026

High-fidelity 3D assets exhibit intriguing global illumination effects like subsurface scattering, glossy interreflections, and fine-scale fiber scatterings, which often involve long scattering paths โ€ฆ

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Supporting Belonging in Software Engineering Through Role Models Exposure

Ronnie de Souza Santos ยท 2026

Role models are widely discussed in educational research as influential in students identity development and sense of belonging, yet less attention has been given to how role model visibility can be sโ€ฆ

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Does This Even Matter in the Real World? Real World Problems in Foundational Theory Courses

Anna Kuznetsova ยท 2026

Discrete mathematics and probability theory contain foundational material for computer scientists. Despite their importance, instructors often worry that students will find these courses to be too absโ€ฆ

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CacheFlow: Efficient LLM Serving with 3D-Parallel KV Cache Restoration

Sean Nian, Jiahao Fang, Qilong Feng, Zhiyu Wu, Fan Lai ยท 2026

KV cache restoration has emerged as a dominant bottleneck in serving long-context LLM workloads, including multi-turn conversations, retrieval-augmented generation, and agentic pipelines. Existing appโ€ฆ

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