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Found 5 papers, 1 papers with code
EGFE: End-to-end Grouping of Fragmented Elements in UI Designs with Multimodal Learning
Grouping these fragmented elements can greatly improve the readability and maintainability of the generated code.
UI Layers Group Detector: Grouping UI Layers via Text Fusion and Box Attention
However, the nesting layer structure in the design draft affects the quality and usability of the generated code.
ULDGNN: A Fragmented UI Layer Detector Based on Graph Neural Networks
While some work attempt to generate front-end code intelligently from UI screenshots, it may be more convenient to utilize UI design drafts in Sketch which is a popular UI design software, because we can access multimodal UI information directly such as layers type, position, size, and visual images.
Zero Shot on the Cold-Start Problem: Model-Agnostic Interest Learning for Recommender Systems
Based on the co-training of the two towers, the MAIL presents an end-to-end method for recommender systems that shows an incremental performance improvement.
Inventory Control Involving Unknown Demand of Discrete Nonperishable Items - Analysis of a Newsvendor-based Policy
Inventory control with unknown demand distribution is considered, with emphasis placed on the case involving discrete nonperishable items.
