Imbalanced Classification

Momentum

12 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 106

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  1. Usefulness of Quantile-Aware Diffusion Modeling for Highly Imbalanced Tabular Data

    Oct 5, 2026Abu Talha, Peng Liu, Souradyuti PaulImbalanced Classification

  2. Fast Convergence through Distributed Augmentation for Class-Imbalanced Federated Learning

    Oct 4, 2026Arathi Nair M, J. Harshan, Anwitaman DattaImbalanced Classification

  3. From Unity Simulation to Diffusion-Based Augmentation: Quantifying Dataset Balance for Robust Object Detection

    Sep 29, 2026Mohamed Benkedadra, Aissa Saoudi, Maxime Gloesener +2Object DetectionGenerative Adversarial Network

  4. CarveMix-RC: Addressing Rare-Class Imbalance Through Lesion-Aware Synthetic Augmentation for Brain Metastasis Segmentation

    Sep 28, 2026Md Shibly Sadique, Md Fayaz Bin Hossen, Michael L. Evans +4Brain Tumor SegmentationLesion Segmentation

  5. Fed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness

    Sep 23, 2026Ioannis Papathanail, Rooholla Poursoleymani, Lubnaa Abdur Rahman +1ImputationFederated Learning

  6. CRISP: Scalable Importance-Stratified Coresets for Imbalanced Tabular Learning

    Sep 22, 2026Hardhik Mohanty, Indrayana Rustandi, Mohamadreza SheibaniImbalanced ClassificationGeometry-Aware Uncertainty Coresets

  7. Exposing Blind Spots in Deep Imbalanced Regression Evaluation

    Sep 21, 2026Noah C. Puetz, Jens U. Brandt, Marc Hilbert +3Imbalanced ClassificationMean Squared Error

  8. Density-Ratio Rescoring for Imbalanced Classification Using Raking Duals and Classifier Scores

    Sep 20, 2026Dongha Kim, Seunghwan ParkImbalanced ClassificationRarity

  9. Bounded Adjustment with Reliability-Guided Embedding for Imbalanced Learning with Noisy Labels

    Sep 14, 2026Mushir Akhtar, Akarsh J., M. Tanveer +1Noisy LabelsImbalanced Classification

  10. Impute-EM: Native Mixed-State Diffusion Models for Heterogeneous Data Imputation

    Sep 14, 2026Sergei Kholkin, Kirill Sokolov, Dmitry Baranchuk +2ImputationExpectation-Maximization

  11. Prevalence calibration as shortcut mitigation

    Sep 7, 2026Mohamed Amine Kina, Eike PetersenShortcut LearningPrevalence

  12. D-FROST: Decentralized Federated pRompt-tuning via Optimal tranSporT for Non-IID and Imbalanced Data

    Sep 1, 2026Quan Minh Nguyen, Hoang M. Ngo, Trong Nghia Hoang +1Soft Prompt TuningBalanced Learning

  13. Local Reference Geometry Residual Augmentation for Imbalanced Time Series Classification

    Aug 31, 2026Chuanhang Qiu, Yanran Xu, Yue Wang +1Imbalanced ClassificationResidual Learning

  14. CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification

    Aug 11, 2026Gawon LimImbalanced ClassificationEnsemble

  15. Unsupervised Domain Adaptation for Multitask Image Analysis in Realistic Context with Extreme Label Shift; Application to the CTAO first Large Sized Telescope

    Aug 10, 2026Michaël Dell'aiera, Thomas Vuillaume, Alexandre BenoitDomain AdaptationImbalanced Classification

  16. FedTVD: Balancing Data Quality and Quantity for Robust Federated Learning

    Aug 10, 2026Radwan Selo, Majid Kundroo, Taehong KimFederated LearningFedavg

  17. SoftMCC: An MCC-Brier Calibration Bridge for Threshold-Free Model Selection under Class Imbalance

    Aug 10, 2026Özkan CanayModel SelectionImbalanced Classification

  18. Ensemble of Unsupervised Deep Learning for Clustering Imbalanced Tabular Data

    Jul 31, 2026Pulock Das, Yina Hou, Md. Kamrozzaman Bhuiyan +1Imbalanced ClassificationClustering

  19. A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection

    Jul 27, 2026Gabriel Singer, Samuel Gruffaz, Olivier Vo Van +2Imbalanced ClassificationMinority

  20. Generalised Balanced Softmax: A Finite-Data Perspective on Logit Adjustment for Long-Tailed Recognition

    Jul 24, 2026Yi-Hang Zhu, Rajeev Raman, Shiqi Su +4Imbalanced ClassificationGumbel-Softmax Relaxation

  21. Synthetic minority data is redundant or invalid: a data-dependent validity theory and a de-biased test

    Jul 22, 2026Ahmad B. Hassanat, Ahmad S. Tarawneh, Ghada A. AltarawnehOversamplingImbalanced Classification

  22. Instance Hardness-Based Relevance for Imbalanced Regression

    Jul 22, 2026Vitor M. Leitao, Juscimara G. Avelino, George D. C. Cavalcanti +1Imbalanced ClassificationRare Events

  23. Cross-Dataset Generalization in Breast MRI Tumor Classification via Class-Wise Dataset Mixing

    Jul 21, 2026Mohammad Ali Dadrast, Hamid UsefiBrain Tumor ClassificationCross-Dataset Benchmark

  24. Benchmarking NACTI Species Recognition in Long-Tailed Regimes

    Jul 20, 2026Zehua Liu, Tilo BurghardtSpecies IdentificationRoadside Cameras

  25. DADIR: Density-Aware Data-level Imbalanced Regression Framework

    Jul 19, 2026Shermin Shahbazi, Hossein Mohammadi, Mohsen AfsharchiImbalanced ClassificationConditional Variational Autoencoder

  26. Cascading versus Joint Modeling for Hierarchical Offensive Language Detection

    Jul 18, 2026Ruixing Ren, Junhui Zhao, Xiaoke SunMultilingual Language ModelsMulti--Task Learning

  27. K-IPO: Kendall-constrained Importance Preserving Oversampling for Imbalanced Tabular Data

    Jul 17, 2026Marios Tyrovolas, Argiris Sofotasios, Dimitris Metaxakis +4OversamplingImbalanced Classification

  28. NodeImport: Imbalanced Node Classification with Node Importance Assessment

    Jul 15, 2026Nan Chen, Zemin Liu, Bryan Hooi +3Imbalanced ClassificationGraph Neural Networks

  29. Reliability-Aware Ensemble Classification Under Class Imbalance: A Calibration Study on Liquid-Based Cervical Cytology

    Jul 10, 2026Nisreen Albzour, Sarah S. LamCancer DetectionImbalanced Classification

  30. RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification

    Jul 10, 2026Yanxuan Yu, Dong liu, Renata Borovica-Gajic +1Imbalanced ClassificationClass Imbalance

  31. Pattern-Aware Graph Neural Networks for Handling Missing Data

    Jul 9, 2026Minett Tran, Taehee JeongMissing DataGraph Neural Networks

  32. Who Gets Missed in the Tail? Thresholded Subgroup Underdiagnosis in Long-Tailed Chest X-ray Classification

    Jul 4, 2026Ha-Hieu Pham, Hai-Dang Nguyen, Dang P. M. Cao +5Chest X-RaySubgroups

  33. MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection

    Jul 2, 2026A. S. Anudeep, Vaanathi SundaresanOut-Of-Distribution DetectionOut-Of-Distribution

  34. Class-Grouped Normalized Momentum and Faster Hyperparameter Exploration to Tackle Class Imbalance in Federated Learning

    Jul 1, 2026Haemin Park, Diego Klabjan, Martin W. Braun +2Federated LearningImbalanced Classification

  35. TRCGL-Net: A Long-Tailed Multi-Label Chest X-Ray Classification Framework with Generative Data Augmentation and Label Co-Occurrence Modeling

    Jul 1, 2026Tong Shao, Hongshun Ling, Li Zhang +4Chest X-RayMedical Image Classification

  36. A time-series classification framework for individual-level absenteeism prediction under severe class imbalance

    Jun 30, 2026Kwong Ho Li, Matthew Roughan, Wathsala KarunarathneTime-Series ClassificationCnn-Lstm

  37. CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping

    Jun 29, 2026Sijia Li, Xiaoyu Tan, Chen Zhan +3Imbalanced ClassificationXgboost Model

  38. FedReLa: Imbalanced Federated Learning via Re-Labeling

    Jun 24, 2026Guangzheng Hu, Patricia Menéndez, Feng Liu +3Federated LearningImbalanced Classification

  39. QC-SMOTE: Quality-Controlled SMOTE for Imbalanced Classification

    Jun 23, 2026Parth Upman, Shreyank N GowdaOversamplingImbalanced Classification

  40. The Circumplex Degeneracy Behind the Rare-Class Limit in Affect Recognition

    Jun 14, 2026Van Thong Huynh, Hong Hai Nguyen, Soo-Hyung KimRarityImbalanced Classification

  41. Evaluation of AutoML Frameworks for IDS under Imbalanced Data Conditions of the NSL-KDD Dataset

    Jun 10, 2026Wiliane Carolina Silva, Evandro César Vilas Boas, Felipe A. P. de FigueiredoImbalanced ClassificationIntrusion Detection

  42. RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning

    Jun 10, 2026Atif Hassan, Swanand Khare, Jiaul H. PaikImbalanced ClassificationLoss Function

  43. Multi-Level Analyzation of Imbalance to Resolve Non-IID-Ness in Federated Learning

    Jun 8, 2026Haengbok Chung, Jae Sung LeeFederated LearningImbalanced Classification

  44. nCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection

    Jun 7, 2026Abu Fuad Ahmad, Istiaque AhmedIntrusion DetectionFeature Selection

  45. LOTTERY: Learning from Reference-Only Samples in Two-Sample Testing under Size Asymmetry

    Jun 7, 2026Xunye Tian, Zhijian Zhou, Liuhua Peng +1Two-Sample TestingImbalanced Classification

  46. Class-Specific Branch Attention for Mitigating Gradient Interference under Class Imbalance

    Jun 4, 2026Arush Singhal, Umang SoniImbalanced ClassificationClass Imbalance

  47. StrokeTimer: Robust Representation Learning for Ischemic Stroke Onset-Time Estimation from Non-contrast CT

    Jun 3, 2026Weiru Wang, Susanne G. H. Olthuis, Elizaveta Lavrova +4StrokeLongitudinal Imaging

  48. FADRW: A Feature-Aware Modulated and Dynamically Reweighted Loss for Few-Shot Linguistic Steganalysis

    Jun 3, 2026Shuo Liu, Xianghong Lin, Yukun Wei +1SteganographyLoss Function

  49. Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing

    Jun 1, 2026Arda Fazla, Abolfazl HashemiSpurious CorrelationsSelection Bias

  50. Hybrid Imbalanced Regression Through Unified Data-Level and Algorithm-Level Balancing

    May 31, 2026Shermin Shahbazi, Hossein Mohammadi, Mohsen AfsharchiImbalanced ClassificationBalance

  51. Active Learning with Foundation Model Priors: Efficient Learning under Class Imbalance

    May 30, 2026Jiancheng Zhang, Meiqing Li, Qi Zhang +1Pool-Based Active LearningActive Learning

  52. DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning

    May 28, 2026Hyuck Lee, Taemin Park, Heeyoung KimImbalanced ClassificationModel Weights