This github will be continuously updated for the survey paper: Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey,Xiao Wang,Guangyao Chen, Guangwu Qian, Pengcheng Gao,Xiao-Yong Wei,Yaowei Wang,Yonghong Tian,Wen Gao. [arXiv] [MIR] [极市平台公众号] [机器智能研究MIR(MIR编辑部...
acceleratellmbig-modelshardware-efficientmodel-sharding UpdatedFeb 18, 2024 Jupyter Notebook Add a description, image, and links to thebig-modelstopic page so that developers can more easily learn about it. To associate your repository with thebig-modelstopic, visit your repo's landing page and ...
Surveys are a crucial tool for understanding public opinion and behaviour, and their accuracy depends on maintaining statistical representativeness of their target populations by minimizing biases from all sources. Increasing data size shrinks confidence intervals but magnifies the effect of survey bias: an...
According to the Big Five model, the outcome of the analyzed studies was the correlational and regressive between work burnout and personality traits. The data of the models in which the personality traits mediated or moderated the relationships with other variables, which were not the study’s ob...
The influence of big data analytic capabilities building and education on business model innovation As organizations are benefiting from investments in big data analytics capabilities building and education, our study has analyzed the impact of big data a... Y Cui,SF Firdousi,A Afzal,... - 《Fr...
In this article, we survey this work. We contrast programming languages against natural languages and discuss how these similarities and differences drive the design of probabilistic models. We present a taxonomy based on the underlying design principles of each model and use it to navigate the ...
including enterprise management, Internet of Things, online social networks, medial applications, collective intelligence, and smart grid. These discussions aim to provide a comprehensive overview and big-picture to readers of this exciting area. This survey is concluded with a discussion of open proble...
This survey investigates current techniques for representing qualitative data for use as input to neural networks. Techniques for using qualitative data in neural networks are well known. However, researchers continue to discover new variations or entire
Model Compression and Acceleration Multi-Task and Multi-View Learning Online Learning Optimization Semi-Supervised and Unsupervised Learning Transfer Learning Trustworthy Machine Learning To reduce class imbalance, we separate some of the hot sub-topics from the original categorization of ACL and ICML submi...
Model Compression and Acceleration Multi-Task and Multi-View Learning Online Learning Optimization Semi-Supervised and Unsupervised Learning Transfer Learning Trustworthy Machine Learning To reduce class imbalance, we separate some of the hot sub-topics from the original categorization of ACL and ICML submi...