Imbalanced Learning

M2m: Imbalanced Classification via Major-to-Minor Translation CVPR 2020 MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NeurIPS 2020 Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax CVPR 2020 Posterior Re-calibration for Imbalanced Datasets NeurIPS 2020 SetConv: A New Approach for Learning from Imbalanced Data EMNLP 2020 Class-Balanced Loss Based on Effective Number of Samples CVPR 2019 EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning AAAI 2019 IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition CVPR 2019 Large-Scale Long-Tailed Recognition in an Open World CVPR 2019 Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning AAAI 2019 Striking the Right Balance With Uncertainty CVPR 2019 Trainable Undersampling for Class-Imbalance Learning AAAI 2019 Making Classifier Chains Resilient to Class Imbalance ACML 2018 The INaturalist Species Classification and Detection Dataset CVPR 2018 Reconstruct & Crush Network NeurIPS 2017 Learning Deep Representation for Imbalanced Classification CVPR 2016 Online F-Measure Optimization NeurIPS 2015 Nearest-Neighbor-Based Active Learning for Rare Category Detection NeurIPS 2007