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Universal domain adaptation aims to align the classes and reduce the feature gap between the same category of the source and target domains. The target private category is set as the unknown class during the adaptation process, as it is not…

Computer Vision and Pattern Recognition · Computer Science 2024-02-07 Yuxiang Lai , Yi Zhou , Xinghong Liu , Tao Zhou

We propose an approach for adversarial attacks on dense prediction models (such as object detectors and segmentation). It is well known that the attacks generated by a single surrogate model do not transfer to arbitrary (blackbox) victim…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Zikui Cai , Yaoteng Tan , M. Salman Asif

About 32% of a software practitioners' day involves seeking and using information to support task completion. Although the information needs of software practitioners have been studied extensively, the impact of AI-assisted tools on their…

Software Engineering · Computer Science 2025-04-28 Ebtesam Al Haque , Chris Brown , Thomas D. LaToza , Brittany Johnson

Context: Adaptive monitoring is a method used in a variety of domains for responding to changing conditions. It has been applied in different ways, from monitoring systems' customization to re-composition, in different application domains.…

Software Engineering · Computer Science 2018-09-05 Edith Zavala , Xavier Franch , Jordi Marco

The correctness of software systems is vital for their effective operation. It makes discovering and fixing software bugs an important development task. The increasing use of Artificial Intelligence (AI) techniques in Software Engineering…

Software Engineering · Computer Science 2023-10-19 Ingrid Marçal , Rogério Eduardo Garcia

Object detection algorithms allow to enable many interesting applications which can be implemented in different devices, such as smartphones and wearable devices. In the context of a cultural site, implementing these algorithms in a…

Computer Vision and Pattern Recognition · Computer Science 2022-10-04 Giovanni Pasqualino , Antonino Furnari , Giovanni Maria Farinella

Speculative decoding accelerates LLM inference but suffers from performance degradation when target models are fine-tuned for specific domains. A naive solution is to retrain draft models for every target model, which is costly and…

Machine Learning · Computer Science 2026-03-11 Luxi Lin , Zhihang Lin , Zhanpeng Zeng , Yuhao Chen , Qingyu Zhang , Jixiang Luo , Xuelong Li , Rongrong Ji

The increasing demand for programmers has led to a surge in participants in programming courses, making it increasingly challenging for instructors to assess student code manually. As a result, automated programming assessment systems…

Software Engineering · Computer Science 2025-03-18 Eduard Frankford , Daniel Crazzolara , Michael Vierhauser , Niklas Meissner , Stephan Krusche , Ruth Breu

This paper presents a methodology and software tools for parametric design of complex architectural objects, called digital or algorithmic forms. In order to provide a flexible tool, the proposed design philosophy involves two open source…

Computational Engineering, Finance, and Science · Computer Science 2015-03-20 Ladislav Svoboda , Jan Novák , Lukáš Kurilla , Jan Zeman

In this paper, we tackle the problem of domain shift. Most existing methods perform training on multiple source domains using a single model, and the same trained model is used on all unseen target domains. Such solutions are sub-optimal as…

Machine Learning · Computer Science 2023-01-13 Tao Zhong , Zhixiang Chi , Li Gu , Yang Wang , Yuanhao Yu , Jin Tang

When tuning software configuration for better performance (e.g., latency or throughput), an important issue that many optimizers face is the presence of local optimum traps, compounded by a highly rugged configuration landscape and…

Software Engineering · Computer Science 2024-04-09 Tao Chen , Miqing Li

Automatic extraction of product attributes from their textual descriptions is essential for online shopper experience. One inherent challenge of this task is the emerging nature of e-commerce products -- we see new types of products with…

Computation and Language · Computer Science 2022-05-02 Xinyang Zhang , Chenwei Zhang , Xian Li , Xin Luna Dong , Jingbo Shang , Christos Faloutsos , Jiawei Han

In this study, we explore advanced strategies for enhancing software quality by detecting and refactoring data clumps, special types of code smells. Our approach transcends the capabilities of integrated development environments, utilizing…

Software Engineering · Computer Science 2024-03-07 Nils Baumgartner , Elke Pulvermüller

Code completion is an important feature of integrated development environments (IDEs). It allows developers to produce code faster, especially novice ones who are not fully familiar with APIs and others code. Previous works on code…

Software Engineering · Computer Science 2020-11-03 M. Weyssow , H. Sahraoui , B. Frénay , B. Vanderose

Agile methods have transformed the way software is developed, emphasizing active end-user involvement, tolerance to change, and evolutionary delivery of products. The first special issue on agile development described the methods as…

Software Engineering · Computer Science 2019-01-03 Torgeir Dingsøyr , Davide Falessi , Ken Power

A new approach to software design based on an agent-oriented architecture is presented. Unlike current research, we consider software to be designed and implemented with this methodology in mind. In this approach agents are considered…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Babak Hodjat , Christopher J. Savoie , Makoto Amamiya

User interaction is one of the most effective ways to improve the ontology alignment quality. However, this approach faces the challenge of how users can participate effectively in the matching process. To solve this challenge. In this…

Neural and Evolutionary Computing · Computer Science 2024-01-19 Zhaoming Lv

Model calibration usually requires optimizing some parameters (e.g., temperature) w.r.t an objective function (e.g., negative log-likelihood). In this paper, we report a plain, important but often neglected fact that the objective function…

Machine Learning · Computer Science 2023-03-10 Yuli Zou , Weijian Deng , Liang Zheng

Modern software development requires a large investment in learning application programming interfaces (APIs). Recent research found that the learning materials themselves are often inadequate: developers struggle to find answers beyond…

Software Engineering · Computer Science 2014-02-07 Adrian Kuhn , Robert DeLine

Iterative compilation is a widely adopted technique to optimize programs for different constraints such as performance, code size and power consumption in rapidly evolving hardware and software environments. However, in case of statically…

Programming Languages · Computer Science 2014-07-16 Lianjie Luo , Yang Chen , Chengyong Wu , Shun Long , Grigori Fursin