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ConR: Contrastive Regularizer for Deep Imbalanced Regression
ConR addresses the continuous nature of label space with two main strategies in a contrastive manner: incorrect proximities are penalized proportionate to the label similarities and the correct ones are encouraged to model local similarities.
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