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imbalanced classification

learning classifier from class-imbalanced data

Papers

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Showing 1–50 of 211 papers

TitleStatusHype
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised LearningCode3
Adaptive Parametric ActivationCode2
Active Generalized Category DiscoveryCode2
Balanced MSE for Imbalanced Visual RegressionCode2
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced DatasetsCode1
Mixture of Mixups for Multi-label Classification of Rare Anuran SoundsCode1
Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical ClassificationCode1
Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type AnnotationsCode1
From SMOTE to Mixup for Deep Imbalanced ClassificationCode1
Generative Table Pre-training Empowers Models for Tabular PredictionCode1
Deep Generative Mixture Model for Robust Imbalance ClassificationCode1
Supervised Prototypical Contrastive Learning for Emotion Recognition in ConversationCode1
Tailoring Self-Supervision for Supervised LearningCode1
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classificationCode1
Debiased Learning from Naturally Imbalanced Pseudo-LabelsCode1
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise ImagesCode1
Feature Generation for Long-tail ClassificationCode1
Well-classified Examples are Underestimated in Classification with Deep Neural NetworksCode1
Exploring Classification Equilibrium in Long-Tailed Object DetectionCode1
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised LearningCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph NetworksCode1
MalNet: A Large-Scale Image Database of Malicious SoftwareCode1
Adaptive Threshold for Online Object Recognition and Re-identification TasksCode1
Attentional-Biased Stochastic Gradient DescentCode1
A Large-Scale Database for Graph Representation LearningCode1
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmplerCode1
Long-tailed Recognition by Routing Diverse Distribution-Aware ExpertsCode1
M2m: Imbalanced Classification via Major-to-minor TranslationCode1
Self-paced Ensemble for Highly Imbalanced Massive Data ClassificationCode1
Large-Scale Long-Tailed Recognition in an Open WorldCode1
MoleculeNet: A Benchmark for Molecular Machine LearningCode1
LSH-DynED: A Dynamic Ensemble Framework with LSH-Based Undersampling for Evolving Multi-Class Imbalanced ClassificationCode0
CopulaSMOTE: A Copula-Based Oversampling Approach for Imbalanced Classification in Diabetes Prediction—0
Asymptotic Normality of Infinite Centered Random Forests -Application to Imbalanced Classification—0
Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models—0
Kernel-Based Enhanced Oversampling Method for Imbalanced Classification—0
QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation—0
Multi-Class Imbalanced Learning with Support Vector Machines via Differential Evolution—0
A statistical theory of overfitting for imbalanced classificationCode0
Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin—0
A Mathematics Framework of Artificial Shifted Population Risk and Its Further Understanding Related to Consistency RegularizationCode0
Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data—0
Deep Learning Meets Oversampling: A Learning Framework to Handle Imbalanced Classification—0
A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data—0
Transfer Neyman-Pearson Algorithm for Outlier Detection—0
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap ClassCode0
GAT-RWOS: Graph Attention-Guided Random Walk Oversampling for Imbalanced Data ClassificationCode0
Kernel-Free Universum Quadratic Surface Twin Support Vector Machines for Imbalanced Data—0
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance ConstraintCode0
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