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Chronofold is a replicated data structure for versioned text. It is designed for use in collaborative editors and revision control systems. Past models of this kind either retrofitted local linear orders to a distributed system (the OT…

Data Structures and Algorithms · Computer Science 2020-04-27 Victor Grishchenko , Mikhail Patrakeev

Recent vision-language pre-trained models (VL-PTMs) have shown remarkable success in open-vocabulary tasks. However, downstream use cases often involve further fine-tuning of VL-PTMs, which may distort their general knowledge and impair…

Computer Vision and Pattern Recognition · Computer Science 2026-05-27 Lin Zhu , Yifeng Yang , Qinying Gu , Xinbing Wang , Chenghu Zhou , Nanyang Ye

Undo and redo functionality is ubiquitous in collaboration software. In single user settings, undo and redo are well understood. However, when multiple users edit a document, concurrency may arise, leading to a non-linear operation history.…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-17 Leo Stewen , Martin Kleppmann

A collaboration framework is a distributed system that serves as the data layer for a collaborative app. Conflict-free Replicated Data Types (CRDTs) are a promising theoretical technique for implementing collaboration frameworks. However,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-17 Matthew Weidner , Huairui Qi , Maxime Kjaer , Ria Pradeep , Benito Geordie , Yicheng Zhang , Gregory Schare , Xuan Tang , Sicheng Xing , Heather Miller

Um CRDT \'e um tipo de dados que pode ser replicado e modificado concorrentemente sem coordena\c{c}\~ao, garantindo-se a converg\^encia das r\'eplicas atrav\'es da resolu\c{c}\~ao autom\'atica de conflitos. Cada CRDT implementa uma…

Data Structures and Algorithms · Computer Science 2019-03-11 André Rijo , Carla Ferreira , Nuno Preguiça

CRDTs are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs ensure convergence through disseminating the en- tire state, that may be large, and merging it…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-04 Paulo Sérgio Almeida , Ali Shoker , Carlos Baquero

CRDTs are distributed data types that make eventual consistency of a distributed object possible and non ad-hoc. Specifically, state-based CRDTs ensure convergence through disseminating the entire state, that may be large, and merging it to…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-17 Paulo Sérgio Almeida , Ali Shoker , Carlos Baquero

Maintaining multiple replicas of data is crucial to achieving scalability, availability and low latency in distributed applications. Conflict-free Replicated Data Types (CRDTs) are important building blocks in this domain because they are…

Programming Languages · Computer Science 2019-05-15 Kartik Nagar , Suresh Jagannathan

Optimal Transport (OT) has established itself as a robust framework for quantifying differences between distributions, with applications that span fields such as machine learning, data science, and computer vision. This paper offers a…

Data Structures and Algorithms · Computer Science 2025-01-14 Sina Moradi

A conflict-free replicated data type (CRDT) is an abstract data type, with a well defined interface, designed to be replicated at multiple processes and exhibiting the following properties: (1) any replica can be modified without…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-06-22 Nuno Preguiça , Carlos Baquero , Marc Shapiro

Optical coherence tomography (OCT) has seen widespread success as an in vivo clinical diagnostic 3D imaging modality, impacting areas including ophthalmology, cardiology, and gastroenterology. Despite its many advantages, such as high…

Cross-domain recommender (CDR) systems aim to enhance the performance of the target domain by utilizing data from other related domains. However, irrelevant information from the source domain may instead degrade target domain performance,…

Information Retrieval · Computer Science 2024-04-01 Hanyu Li , Weizhi Ma , Peijie Sun , Jiayu Li , Cunxiang Yin , Yancheng He , Guoqiang Xu , Min Zhang , Shaoping Ma

Out-of-distribution (OOD) data poses serious challenges in deployed machine learning models, so methods of predicting a model's performance on OOD data without labels are important for machine learning safety. While a number of methods have…

Conflict-Free Replicated Data Types (CRDTs) for JSON allow users to concurrently update a JSON document and automatically merge the updates into a consistent state. Moving a subtree in a map or reordering elements in a list within a JSON…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-09-25 Liangrun Da , Martin Kleppmann

Diffusion models have demonstrated strong performance in sampling and editing multi-modal data with high generation quality, yet they suffer from the iterative generation process which is computationally expensive and slow. In addition,…

Computer Vision and Pattern Recognition · Computer Science 2024-06-19 Xinrui Zu , Qian Tao

Text image machine translation (TIMT) aims to translate texts embedded in images from one source language to another target language. Existing methods, both two-stage cascade and one-stage end-to-end architectures, suffer from different…

Computation and Language · Computer Science 2023-05-11 Cong Ma , Yaping Zhang , Mei Tu , Yang Zhao , Yu Zhou , Chengqing Zong

Continual Test-Time Adaptation (CTTA) is an emerging and challenging task where a model trained in a source domain must adapt to continuously changing conditions during testing, without access to the original source data. CTTA is prone to…

Machine Learning · Computer Science 2024-05-29 Ziqi Shi , Fan Lyu , Ye Liu , Fanhua Shang , Fuyuan Hu , Wei Feng , Zhang Zhang , Liang Wang

Traditional OCR systems (OCR-1.0) are increasingly unable to meet people's usage due to the growing demand for intelligent processing of man-made optical characters. In this paper, we collectively refer to all artificial optical signals…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Haoran Wei , Chenglong Liu , Jinyue Chen , Jia Wang , Lingyu Kong , Yanming Xu , Zheng Ge , Liang Zhao , Jianjian Sun , Yuang Peng , Chunrui Han , Xiangyu Zhang

Replication ensures data availability in fault-prone distributed systems. The celebrated CAP theorem stipulates that replicas cannot guarantee both strong consistency and availability under network partitions. A popular alternative, adopted…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-22 Petr Kuznetsov , Maxence Perion , Sara Tucci-Piergiovanni

Consensus protocols are fundamental in distributed systems as they enable software with strong consistency properties. However, designing optimized protocols for specific use-cases under certain system assumptions is typically a laborious…

Programming Languages · Computer Science 2025-04-09 Julian Haas , Ragnar Mogk , Annette Bieniusa , Mira Mezini