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Imbalanced Learning

81 directly classified papers

Papers per year

Papers

Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning NIPS 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing NIPS 2023
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders AISTATS 2023
Probability Guided Loss for Long-Tailed Multi-Label Image Classification AAAI 2023
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition AAAI 2023
T-distributed Spherical Feature Representation for Imbalanced Classification AAAI 2023
AUC Maximization for Low-Resource Named Entity Recognition AAAI 2023
Balanced Contrastive Learning for Long-Tailed Visual Recognition CVPR 2022
Under-bagging Nearest Neighbors for Imbalanced Classification JMLR 2022
On The Arabic Dialects’ Identification: Overcoming Challenges of Geographical Similarities Between Arabic dialects and Imbalanced Datasets EMNLP 2022
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification AAAI 2022
Imbalance-Aware Uplift Modeling for Observational Data AAAI 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets AAAI 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data AAAI 2022
RareGAN: Generating Samples for Rare Classes AAAI 2022
Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting ACL 2022
IIITSurat@LT-EDI-ACL2022: Hope Speech Detection using Machine Learning ACL 2022
Targeted Supervised Contrastive Learning for Long-Tailed Recognition CVPR 2022
Calibrating Imbalanced Classifiers with Focal Loss: An Empirical Study EMNLP 2022
How Can a Teacher Make Learning From Sparse Data Softer? Application to Business Relation Extraction EMNLP 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning NIPS 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification NIPS 2022
RSG: A Simple but Effective Module for Learning Imbalanced Datasets CVPR 2021
Towards Balanced Defect Prediction with Better Information Propagation AAAI 2021