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Found 6 papers, 0 papers with code
Ad Headline Generation using Self-Critical Masked Language Model
For any E-commerce website it is a nontrivial problem to build enduring advertisements that attract shoppers.
Training Language Models under Resource Constraints for Adversarial Advertisement Detection
Advertising on e-commerce and social media sites deliver ad impressions at web scale on a daily basis driving value to both shoppers and advertisers.
Progressive Fashion Attribute Extraction
Extracting fashion attributes from images of people wearing clothing/fashion accessories is a very hard multi-class classification problem.
Fashion Retail: Forecasting Demand for New Items
This problem has been addressed by analysts and statisticians as well as ML researchers in a conventional fashion - of building models that forecast for future demand given a particular item of fashion with historical data on its sales.
Other Computer Science
Teaching DNNs to design fast fashion
$ $"Fast Fashion" spearheads the biggest disruption in fashion that enabled to engineer resilient supply chains to quickly respond to changing fashion trends.
Understanding Fashionability: What drives sales of a style?
We use customer demand data for fashion articles on Myntra, and derive a fashionability or style quotient, which represents customer demand for the stylistic content of a fashion article, decoupled with its commercials (price, offers, etc.).
