Výsledky vyhľadávania - "Data engineering"

Unifying Large Language Models and Knowledge Graphs: A Roadmap Autor Pan, Shirui, Luo, Linhao, Wang, Yufei, Chen, Chen, Wang, Jiapu, Wu, Xindong

“…Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the field of natural language processing and artificial intelligence, due to…”
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Self-Supervised Learning: Generative or Contrastive Autor Liu, Xiao, Zhang, Fanjin, Hou, Zhenyu, Mian, Li, Wang, Zhaoyu, Zhang, Jing, Tang, Jie

“…Deep supervised learning has achieved great success in the last decade. However, its defects of heavy dependence on manual labels and vulnerability to attacks…”
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A Survey on Multi-Task Learning Autor Zhang, Yu, Yang, Qiang

“…Multi-Task Learning (MTL) is a learning paradigm in machine learning and its aim is to leverage useful information contained in multiple related tasks to help…”
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Generalizing to Unseen Domains: A Survey on Domain Generalization Autor Wang, Jindong, Lan, Cuiling, Liu, Chang, Ouyang, Yidong, Qin, Tao, Lu, Wang, Chen, Yiqiang, Zeng, Wenjun, Yu, Philip S.

“…Machine learning systems generally assume that the training and testing distributions are the same. To this end, a key requirement is to develop models that…”
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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Autor Gui, Jie, Sun, Zhenan, Wen, Yonggang, Tao, Dacheng, Ye, Jieping

“…Generative adversarial networks (GANs) have recently become a hot research topic; however, they have been studied since 2014, and a large number of algorithms…”
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A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Autor Li, Qinbin, Wen, Zeyi, Wu, Zhaomin, Hu, Sixu, Wang, Naibo, Li, Yuan, Liu, Xu, He, Bingsheng

“…As data privacy increasingly becomes a critical societal concern, federated learning has been a hot research topic in enabling the collaborative training of…”
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Contrastive Learning for Sequential Recommendation Autor Xie, Xu, Sun, Fei, Liu, Zhaoyang, Wu, Shiwen, Gao, Jinyang, Zhang, Jiandong, Ding, Bolin, Cui, Bin

“…Sequential recommendation methods play a crucial role in modern recommender systems because of their ability to capture a user's dynamic interest from her/his…”
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A Survey on Generative Diffusion Models Autor Cao, Hanqun, Tan, Cheng, Gao, Zhangyang, Xu, Yilun, Chen, Guangyong, Heng, Pheng-Ann, Li, Stan Z.

“…Deep generative models have unlocked another profound realm of human creativity. By capturing and generalizing patterns within data, we have entered the epoch…”
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A Survey on Deep Semi-Supervised Learning Autor Yang, Xiangli, Song, Zixing, King, Irwin, Xu, Zenglin

“…Deep semi-supervised learning is a fast-growing field with a range of practical applications. This paper provides a comprehensive survey on both fundamentals…”
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A Survey on Deep Learning for Named Entity Recognition Autor Li, Jing, Sun, Aixin, Han, Jianglei, Li, Chenliang

“…Named entity recognition (NER) is the task to identify mentions of rigid designators from text belonging to predefined semantic types such as person, location,…”
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Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems Autor von Rueden, Laura, Mayer, Sebastian, Beckh, Katharina, Georgiev, Bogdan, Giesselbach, Sven, Heese, Raoul, Kirsch, Birgit, Pfrommer, Julius, Pick, Annika, Ramamurthy, Rajkumar, Walczak, Michal, Garcke, Jochen, Bauckhage, Christian, Schuecker, Jannis

“…Despite its great success, machine learning can have its limits when dealing with insufficient training data. A potential solution is the additional…”
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A Comprehensive Survey on Graph Anomaly Detection With Deep Learning Autor Ma, Xiaoxiao, Wu, Jia, Xue, Shan, Yang, Jian, Zhou, Chuan, Sheng, Quan Z., Xiong, Hui, Akoglu, Leman

“…Anomalies are rare observations (e.g., data records or events) that deviate significantly from the others in the sample. Over the past few decades, research on…”
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Deep Learning on Graphs: A Survey Autor Zhang, Ziwei, Cui, Peng, Zhu, Wenwu

“…Deep learning has been shown to be successful in a number of domains, ranging from acoustics, images, to natural language processing. However, applying deep…”
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Graph Self-Supervised Learning: A Survey Autor Liu, Yixin, Jin, Ming, Pan, Shirui, Zhou, Chuan, Zheng, Yu, Xia, Feng, Yu, Philip S.

“…Deep learning on graphs has attracted significant interests recently. However, most of the works have focused on (semi-) supervised learning, resulting in…”
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Deep Isolation Forest for Anomaly Detection Autor Xu, Hongzuo, Pang, Guansong, Wang, Yijie, Wang, Yongjun

“…Isolation forest (iForest) has been emerging as arguably the most popular anomaly detector in recent years due to its general effectiveness across different…”
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A General Survey on Attention Mechanisms in Deep Learning Autor Brauwers, Gianni, Frasincar, Flavius

“…Attention is an important mechanism that can be employed for a variety of deep learning models across many different domains and tasks. This survey provides an…”
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Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting Autor Guo, Shengnan, Lin, Youfang, Wan, Huaiyu, Li, Xiucheng, Cong, Gao

“…Accurate traffic forecasting is critical in improving safety, stability, and efficiency of intelligent transportation systems. Despite years of studies,…”
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A Survey on Knowledge Graph-Based Recommender Systems Autor Guo, Qingyu, Zhuang, Fuzhen, Qin, Chuan, Zhu, Hengshu, Xie, Xing, Xiong, Hui, He, Qing

“…To solve the information explosion problem and enhance user experience in various online applications, recommender systems have been developed to model users'…”
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Deep Learning for Spatio-Temporal Data Mining: A Survey Autor Wang, Senzhang, Cao, Jiannong, Yu, Philip

“…With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has…”
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Recommender Systems in the Era of Large Language Models (LLMs) Autor Zhao, Zihuai, Fan, Wenqi, Li, Jiatong, Liu, Yunqing, Mei, Xiaowei, Wang, Yiqi, Wen, Zhen, Wang, Fei, Zhao, Xiangyu, Tang, Jiliang, Li, Qing

“…With the prosperity of e-commerce and web applications, Recommender Systems (RecSys) have become an indispensable and important component, providing…”
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