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Merging beliefs requires the plausibility of the sources of the information to be merged. They are typically assumed equally reliable in lack of hints indicating otherwise; yet, a recent line of research spun from the idea of deriving this…

Artificial Intelligence · Computer Science 2021-03-23 Paolo Liberatore

Conditional ceteris paribus preference networks (CP-nets) are commonly used to capture qualitative conditional preferences. In many use cases, when the preferential structure of an agent is incomplete, information from other preferential…

Multiagent Systems · Computer Science 2021-09-22 Stijn Henckens , Mostafa Mohajeri Parizi , Giovanni Sileno

Item indexing, which maps a large corpus of items into compact discrete representations, is critical for both discriminative and generative recommender systems, yet existing Vector Quantization (VQ)-based approaches struggle with the highly…

Information Retrieval · Computer Science 2026-01-29 Jing Yan , Yimeng Bai , Zongyu Liu , Yahui Liu , Junwei Wang , Jingze Huang , Haoda Li , Sihao Ding , Shaohui Ruan , Yang Zhang

This paper proposes a new evaluation protocol for cross-media retrieval which better fits the real-word applications. Both image-text and text-image retrieval modes are considered. Traditionally, class labels in the training and testing…

Computer Vision and Pattern Recognition · Computer Science 2017-03-13 Ruoyu Liu , Yao Zhao , Liang Zheng , Shikui Wei , Yi Yang

Modern Code Review (MCR) is a standard in all kinds of organizations that develop software. MCR pays for itself through perceived and proven benefits in quality assurance and knowledge transfer. However, the time invest in MCR is generally…

Software Engineering · Computer Science 2021-04-20 Robert Heumüller

The two most significant bottlenecks in code merging are the build process and the unit tests. However, as the number of items to be checked in a code review increases, that code review becomes a bottleneck for code merging as well. Because…

Software Engineering · Computer Science 2022-02-14 Geunsik Lim , Yonghwi Kwon , Joonbae Park , Chul-Joo Kim

Model merging is an effective strategy to merge multiple models for enhancing model performances, and more efficient than ensemble learning as it will not introduce extra computation into inference. However, limited research explores if the…

Computer Vision and Pattern Recognition · Computer Science 2025-05-19 Hu Wang , Ibrahim Almakky , Congbo Ma , Numan Saeed , Mohammad Yaqub

The importance of the post-merger epoch in galaxy evolution has been well-documented, but post-mergers are notoriously difficult to identify. While the features induced by mergers can sometimes be distinctive, they are frequently missed by…

Astrophysics of Galaxies · Physics 2022-06-08 Robert W. Bickley , Sara L. Ellison , David R. Patton , Connor Bottrell , Stephen Gwyn , Michael J. Hudson

While every network node only relays messages in a traditional communication system, the recent network coding (NC) paradigm proposes to implement simple in-network processing with packet combinations in the nodes. NC extends the concept of…

Multimedia · Computer Science 2016-11-15 Enrico Magli , Mea Wang , Pascal Frossard , Athina Markopoulou

Federated learning has recently emerged as a decentralized approach to learn a high-performance model without access to user data. Despite its effectiveness, federated learning gives malicious users opportunities to manipulate the model by…

Machine Learning · Computer Science 2024-02-28 Tianhang Zheng , Baochun Li

Detection of gravitational waves (GW) from compact binary mergers provide a new window into multi-messenger astrophysics. The standard technique to determine the merger parameters is matched filtering, consisting in comparing the signal to…

General Relativity and Quantum Cosmology · Physics 2020-10-28 Juan Pablo Marulanda , Camilo Santa , Antonio Enea Romano

We investigate the use of deep convolutional neural networks (deep CNNs) for automatic visual detection of galaxy mergers. Moreover, we investigate the use of transfer learning in conjunction with CNNs, by retraining networks first trained…

Instrumentation and Methods for Astrophysics · Physics 2018-06-13 Sandro Ackermann , Kevin Schawinski , Ce Zhang , Anna K. Weigel , M. Dennis Turp

Retrieval-Augmented Generation (RAG) enables Large Language Models (LLMs) to extend their existing knowledge by dynamically incorporating external information. However, practical deployment is fundamentally constrained by the LLM's finite…

Information Retrieval · Computer Science 2026-03-24 Jiarui Guo , Yuemeng Xu , Zongwei Lv , Yangyujia Wang , Xiaolin Wang , Kan Liu , Tao Lan , Lin Qu , Tong Yang

Multiplex networks allow us to study a variety of complex systems where nodes connect to each other in multiple ways, for example friend, family, and co-worker relations in social networks. Link prediction is the branch of network analysis…

Social and Information Networks · Computer Science 2022-11-23 Michele Coscia , Christian Borgelt , Michael Szell

Modern recommender systems trained on domain-specific data often struggle to generalize across multiple domains. Cross-domain sequential recommendation has emerged as a promising research direction to address this challenge; however,…

Information Retrieval · Computer Science 2026-01-06 Hyunsoo Kim , Jaewan Moon , Seongmin Park , Jongwuk Lee

Code review is a key practice in software engineering, ensuring quality and collaboration. However, industrial Merge Request (MR) workflows often deviate from standardized review processes, with many MRs serving non-review purposes (e.g.,…

Software Engineering · Computer Science 2025-06-12 Samah Kansab , Francis Bordeleau , Ali Tizghadam

For wireless communications, the FCC has fostered competition rather than openness. This has permitted the emergence of vertically integrated end-to-end providers, creating problems of reduced hardware innovation, software applications,…

Computers and Society · Computer Science 2007-05-23 Eli M. Noam

Code review is an essential component of software development, playing a vital role in ensuring a comprehensive check of code changes. However, the continuous influx of pull requests and the limited pool of available reviewer candidates…

Software Engineering · Computer Science 2024-01-22 Yu Qiao , Jian Wang , Can Cheng , Wei Tang , Peng Liang , Yuqi Zhao , Bing Li

Merging beliefs depends on the relative reliability of their sources. When unknown, assuming equal reliability is unwarranted. The solution proposed in this article is that every reliability profile is possible, and only what holds…

Artificial Intelligence · Computer Science 2021-01-08 Paolo Liberatore

Machine Reading Comprehension (MRC) is the task of answering a question over a paragraph of text. While neural MRC systems gain popularity and achieve noticeable performance, issues are being raised with the methodology used to establish…

Computation and Language · Computer Science 2020-03-11 Viktor Schlegel , Marco Valentino , André Freitas , Goran Nenadic , Riza Batista-Navarro
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