[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427

[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression

Paper code for "Adapting a deep convolutional RNN model with imbalanced regression loss for improved spatio-temporal forecasting of extreme wind speed events in the short-to-medium range".

Official Implementation of ACMMM'21 paper "Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting"

[ICLR 2025] Dist Loss: Enhancing Regression in Few-shot Region through Distribution Distance Constraint

[NeurIPS 2023] Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing

SynthTabularDataGeneration-IR is a research-oriented repository for evaluating synthetic data generation techniques tailored to imbalanced regression tasks over tabular datasets. It includes various oversampling strategies, learner models, custom metrics, and statistical analysis tools to benchmark performance across multiple datasets.