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Found 2 papers, 1 papers with code
Test-Time Distribution Normalization for Contrastively Learned Vision-language Models
Advances in the field of vision-language contrastive learning have made it possible for many downstream applications to be carried out efficiently and accurately by simply taking the dot product between image and text representations.
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems
Datasets for training recommender systems are often subject to distribution shift induced by users' and recommenders' selection biases.
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