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Generating images conditioned on multiple visual references is critical for real-world applications such as multi-subject composition, narrative illustration, and novel view synthesis, yet current models suffer from severe performance…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Zhekai Chen , Yuqing Wang , Manyuan Zhang , Xihui Liu

Efficient data exploration is crucial as data becomes increasingly important for accelerating processes, improving forecasts and developing new business models. Data consumers often spend 25-98 % of their time searching for suitable data…

Information Retrieval · Computer Science 2025-07-11 Lennart Busch , Daniel Tebernum , Gissel Velarde

The growing number of pretrained models in Machine Learning (ML) presents significant challenges for practitioners. Given a new dataset, they need to determine the most suitable deep learning (DL) pipeline, consisting of the pretrained…

Machine Learning · Computer Science 2025-06-17 Fabio Ferreira

Currently, data and model size dominate the narrative in the training of super-large, powerful models. However, there has been a lack of exploration on the effect of other attributes of the training dataset on model performance. We…

Machine Learning · Computer Science 2025-01-22 Kavita Selva , Satita Vittayaareekul , Brando Miranda

The increasing demand for high-quality datasets in machine learning has raised concerns about the ethical and responsible creation of these datasets. Dataset creators play a crucial role in developing responsible practices, yet their…

Machine Learning · Computer Science 2024-09-04 Will Orr , Kate Crawford

Data is central to the development and evaluation of machine learning (ML) models. However, the use of problematic or inappropriate datasets can result in harms when the resulting models are deployed. To encourage responsible AI practice…

Human-Computer Interaction · Computer Science 2022-08-25 Amy K. Heger , Liz B. Marquis , Mihaela Vorvoreanu , Hanna Wallach , Jennifer Wortman Vaughan

Data quality is a key element for building and optimizing good learning models. Despite many attempts to characterize data quality, there is still a need for rigorous formalization and an efficient measure of the quality from available…

Machine Learning · Computer Science 2023-12-14 Jouseau Roxane , Salva Sébastien , Samir Chafik

Cities are continuously evolving human settlements. Our cities are under strain in an increasingly urbanized world, and planners, decision-makers, and communities must be ready to adapt. Data is an important resource for municipal…

Computers and Society · Computer Science 2023-09-15 Md Aminul Islam , Md Abu Sufian

Advancements in artificial intelligence, machine learning, and deep learning have catalyzed the transformation of big data analytics and management into pivotal domains for research and application. This work explores the theoretical…

Data is expanding at an unimaginable rate, and with this development comes the responsibility of the quality of data. Data Quality refers to the relevance of the information present and helps in various operations like decision making and…

Machine Learning · Computer Science 2021-11-30 Sezal Chug , Priya Kaushal , Ponnurangam Kumaraguru , Tavpritesh Sethi

Individuals and organizations cope with an always-growing amount of data, which is heterogeneous in its contents and formats. An adequate data management process yielding data quality and control over its lifecycle is a prerequisite to…

Retrieval-Augmented Generation systems depend on retrieving semantically relevant document chunks to support accurate, grounded outputs from large language models. In structured and repetitive corpora such as regulatory filings, chunk…

Information Retrieval · Computer Science 2026-01-21 Raquib Bin Yousuf , Shengzhe Xu , Mandar Sharma , Andrew Neeser , Chris Latimer , Naren Ramakrishnan

The term Data Space, understood as the secure exchange of data in distributed systems, ensuring openness, transparency, decentralization, sovereignty, and interoperability of information, has gained importance during the last years.…

Databases · Computer Science 2024-02-13 Javier Conde , Alejandro Pozo , Andrés Munoz-Arcentales , Johnny Choque , Álvaro Alonso

The quality of underlying training data is very crucial for building performant machine learning models with wider generalizabilty. However, current machine learning (ML) tools lack streamlined processes for improving the data quality. So,…

Machine Learning · Computer Science 2021-12-16 Atindriyo Sanyal , Vikram Chatterji , Nidhi Vyas , Ben Epstein , Nikita Demir , Anthony Corletti

Today it is crucial for organizations to pay even greater attention on quality management as the importance of this function in achieving ultimate business objectives is increasingly becoming clearer. Importance of the Quality Management…

Software Engineering · Computer Science 2014-01-03 Uttam Bhattacharya , Amit Kumar Rahut , Sujoy De

Labelled image datasets have played a critical role in high-level image understanding. However, the process of manual labelling is both time-consuming and labor intensive. To reduce the cost of manual labelling, there has been increased…

Computer Vision and Pattern Recognition · Computer Science 2017-03-29 Yazhou Yao , Jian Zhang , Fumin Shen , Xiansheng Hua , Jingsong Xu , Zhenmin Tang

Developing the capacity to effectively search for requisite datasets is an urgent requirement to assist data users in identifying relevant datasets considering the very limited available metadata. For this challenge, the utilization of…

Information Retrieval · Computer Science 2024-10-08 Teruaki Hayashi , Hiroki Sakaji , Jiayi Dai , Randy Goebel

Urban morphological measures applied at a high-resolution of spatial analysis can yield a wealth of data describing characteristics of the urban environment in a substantial degree of detail; however, such forms of high-dimensional numeric…

Physics and Society · Physics 2022-01-24 Gareth D. Simons

Datasets have played a foundational role in the advancement of machine learning research. They form the basis for the models we design and deploy, as well as our primary medium for benchmarking and evaluation. Furthermore, the ways in which…

Machine Learning · Computer Science 2021-11-16 Amandalynne Paullada , Inioluwa Deborah Raji , Emily M. Bender , Emily Denton , Alex Hanna

Dataset Distillation (DD) seeks to create a compact dataset from a large, real-world dataset. While recent methods often rely on heuristic approaches to balance efficiency and quality, the fundamental relationship between original and…

Machine Learning · Computer Science 2026-01-30 Shaobo Wang , Yantai Yang , Guo Chen , Peiru Li , Kaixin Li , Yufa Zhou , Zhaorun Chen , Linfeng Zhang