Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 5 of 5 for “"Scalable AI"”.
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Towards Label-Efficient Learning: Exploiting Limited Labels and Abundant Unlabeled Data
… a path toward building efficient, effective, and scalable AI systems by harmonizing limited labels, model capabilities, and the vast availability of unlabeled data. Experimental evaluations are conducted on publicly available datasets, including AG News, Yahoo! Answers, IMDB, Empathetic Dialogues, …
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Advancing Deep Learning Efficiency: From Specialized Co-Design to Automated Generation
The explosive growth of artificial intelligence (AI) technologies, particularly large-scale deep learning models such as large language models and diffusion models, has intensified the demand for efficient full-stack inference solutions that effectively balance performance and costs. This work will …
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Scalable foundation models
… opportunities for artificial intelligence (AI) models. However, without scalable AI solutions (e.g., training algorithms, model architectures), much of this additional compute and annotation may be underutilized or yield diminishing returns. Furthermore, as real-world applications demand …
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A geospatial deep learning framework for scalable hydrographic mapping
… disaster management and environmental sustainability. In the United States, the National Hydrography Dataset (NHD) provides the authoritative spatial framework for surface water representation, yet its reliance on manual interpretation and rule-based workflows limits the timeliness and …
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Toward Transformer-based Large Energy Models for Smart Energy Management
… developed to outperform in-situ models trained on individual buildings. To this end, we investigated and compared three candidate multi-variate Transformer architectures, utilizing both zero-shot and fine-tuning strategies, with data from 1,014 buildings. The results, evaluated across …