imbalanced regression

A Selective Under-Sampling (SUS) Method for Imbalanced Regression (Abstract Reprint) AAAI 2026 Conditional Diffusion Models for Imbalanced Tabular Regression UAI 2026 ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression AAAI 2025 Balanced Sharpness-Aware Minimization for Imbalanced Regression ICCV 2025 Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint ICLR 2025 Improve Representation for Imbalanced Regression through Geometric Constraints CVPR 2025 PRIME: Deep Imbalanced Regression with Proxies ICML 2025 ConR: Contrastive Regularizer for Deep Imbalanced Regression ICLR 2024 Deep Imbalanced Regression via Hierarchical Classification Adjustment CVPR 2024 A step towards understanding why classification helps regression ICCV 2023 Data Augmentation for Imbalanced Regression AISTATS 2023 Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NeurIPS 2023 Balanced MSE for Imbalanced Visual Regression CVPR 2022 RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression ICML 2022 Delving into Deep Imbalanced Regression ICML 2021