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Found 3 papers, 2 papers with code
Constructing Data Transaction Chains Based on Opportunity Cost Exploration
However, the inherent replicability and privacy concerns of data make it challenging to directly apply traditional trading theories to data markets.
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching
The expenses involved in training state-of-the-art deep hashing retrieval models have witnessed an increase due to the adoption of more sophisticated models and large-scale datasets.
Data valuation: The partial ordinal Shapley value for machine learning
Data valuation using Shapley value has emerged as a prevalent research domain in machine learning applications.
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