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Found 3 papers, 2 papers with code
A Huber loss-based super learner with applications to healthcare expenditures
Super learning, an ensemble method that combines a range of candidate models, is a promising alternative for cost estimation and has shown benefits over a single model.
Partial Relaxed Optimal Transport for Denoised Recommendation
The interaction data used by recommender systems (RSs) inevitably include noises resulting from mistaken or exploratory clicks, especially under implicit feedbacks.
Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal Grounding
Then, a commonsense-aware interaction module is designed to obtain bridged visual and text features by utilizing the learned commonsense concepts.
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