Collaborative Optimization of Multiclass Imbalanced Learning: Density-Aware and Region-Guided Boosting
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Chuantao, Li, Zhi, Xu, Jiahao, Li, Jie, Li, Sheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Kernel Density Estimation for Multiclass Quantification
by: Moreo, Alejandro, et al.
Published: (2023)
by: Moreo, Alejandro, et al.
Published: (2023)
Risk-Consistent Multiclass Learning from Random Label-Subset Membership Queries
by: Su, Jiaxu, et al.
Published: (2026)
by: Su, Jiaxu, et al.
Published: (2026)
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning
by: Li, Xingyu, et al.
Published: (2024)
by: Li, Xingyu, et al.
Published: (2024)
GraphFedMIG: Tackling Class Imbalance in Federated Graph Learning via Mutual Information-Guided Generation
by: Li, Xinrui, et al.
Published: (2025)
by: Li, Xinrui, et al.
Published: (2025)
Class-Dependent Hybrid Data Augmentation for Multiclass Migraine Classification under Severe Class Imbalance
by: Somón, Elvin, et al.
Published: (2026)
by: Somón, Elvin, et al.
Published: (2026)
Class-Imbalanced Complementary-Label Learning via Weighted Loss
by: Wei, Meng, et al.
Published: (2022)
by: Wei, Meng, et al.
Published: (2022)
Gradient Imbalance in Direct Preference Optimization
by: Ma, Qinwei, et al.
Published: (2025)
by: Ma, Qinwei, et al.
Published: (2025)
Scalable Utility-Aware Multiclass Calibration
by: Hegazy, Mahmoud, et al.
Published: (2025)
by: Hegazy, Mahmoud, et al.
Published: (2025)
On the Computability of Multiclass PAC Learning
by: Gourdeau, Pascale, et al.
Published: (2025)
by: Gourdeau, Pascale, et al.
Published: (2025)
Multiclass Transductive Online Learning
by: Hanneke, Steve, et al.
Published: (2024)
by: Hanneke, Steve, et al.
Published: (2024)
Regularization and Optimal Multiclass Learning
by: Asilis, Julian, et al.
Published: (2023)
by: Asilis, Julian, et al.
Published: (2023)
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems
by: Li, Harry, et al.
Published: (2023)
by: Li, Harry, et al.
Published: (2023)
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
by: Li, Lan, et al.
Published: (2025)
by: Li, Lan, et al.
Published: (2025)
Geometric Manifold Rectification for Imbalanced Learning
by: Wang, Xubin, et al.
Published: (2026)
by: Wang, Xubin, et al.
Published: (2026)
Detecting Scarce and Sparse Anomalous: Solving Dual Imbalance in Multi-Instance Learning
by: Jia, Lin-Han, et al.
Published: (2025)
by: Jia, Lin-Han, et al.
Published: (2025)
Offline Reinforcement Learning with Imbalanced Datasets
by: Jiang, Li, et al.
Published: (2023)
by: Jiang, Li, et al.
Published: (2023)
Aligning Multiclass Neural Network Classifier Criterion with Task Performance Metrics
by: Li, Deyuan, et al.
Published: (2024)
by: Li, Deyuan, et al.
Published: (2024)
Universal Multiclass Transductive Online Learning
by: Hanneke, Steve, et al.
Published: (2026)
by: Hanneke, Steve, et al.
Published: (2026)
UBMF: Uncertainty-Aware Bayesian Meta-Learning Framework for Fault Diagnosis with Imbalanced Industrial Data
by: Lian, Zhixuan, et al.
Published: (2025)
by: Lian, Zhixuan, et al.
Published: (2025)
Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation
by: Tu, Yuchun, et al.
Published: (2026)
by: Tu, Yuchun, et al.
Published: (2026)
Injecting Distributional Awareness into MLLMs via Reinforcement Learning for Deep Imbalanced Regression
by: Du, Yao, et al.
Published: (2026)
by: Du, Yao, et al.
Published: (2026)
CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning
by: Xu, Tianshi, et al.
Published: (2026)
by: Xu, Tianshi, et al.
Published: (2026)
Collaborative Deterministic-Probabilistic Forecasting for Diverse Spatiotemporal Systems
by: Sheng, Zhi, et al.
Published: (2025)
by: Sheng, Zhi, et al.
Published: (2025)
Kernel-Based Enhanced Oversampling Method for Imbalanced Classification
by: Li, Wenjie, et al.
Published: (2025)
by: Li, Wenjie, et al.
Published: (2025)
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
by: Li, Zeju, et al.
Published: (2024)
by: Li, Zeju, et al.
Published: (2024)
The Optimal Sample Complexity of Multiclass and List Learning
by: Pabbaraju, Chirag
Published: (2026)
by: Pabbaraju, Chirag
Published: (2026)
Multiclass ROC
by: Wang, Liang, et al.
Published: (2024)
by: Wang, Liang, et al.
Published: (2024)
BoostFGL: Boosting Fairness in Federated Graph Learning
by: Chen, Zekai, et al.
Published: (2026)
by: Chen, Zekai, et al.
Published: (2026)
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception
by: Li, Xiaohe, et al.
Published: (2025)
by: Li, Xiaohe, et al.
Published: (2025)
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
by: Zhou, Yuhang, et al.
Published: (2025)
by: Zhou, Yuhang, et al.
Published: (2025)
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
by: Hong, Chenxing, et al.
Published: (2024)
by: Hong, Chenxing, et al.
Published: (2024)
MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection
by: Zhang, Yuteng, et al.
Published: (2026)
by: Zhang, Yuteng, et al.
Published: (2026)
Instance-Aware Graph Prompt Learning
by: Li, Jiazheng, et al.
Published: (2024)
by: Li, Jiazheng, et al.
Published: (2024)
Assisted Learning for Organizations with Limited Imbalanced Data
by: Chen, Cheng, et al.
Published: (2021)
by: Chen, Cheng, et al.
Published: (2021)
PDAC: Efficient Coreset Selection for Continual Learning via Probability Density Awareness
by: Gao, Junqi, et al.
Published: (2025)
by: Gao, Junqi, et al.
Published: (2025)
Learning from Peers: Collaborative Ensemble Adversarial Training
by: Dengjin, Li, et al.
Published: (2025)
by: Dengjin, Li, et al.
Published: (2025)
Interventional Imbalanced Multi-Modal Representation Learning via $β$-Generalization Front-Door Criterion
by: Li, Yi, et al.
Published: (2024)
by: Li, Yi, et al.
Published: (2024)
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance
by: Nakada, Ryumei, et al.
Published: (2024)
by: Nakada, Ryumei, et al.
Published: (2024)
Assessing the Feasibility of Early Cancer Detection Using Routine Laboratory Data: An Evaluation of Machine Learning Approaches on an Imbalanced Dataset
by: Li, Shumin
Published: (2025)
by: Li, Shumin
Published: (2025)
Multiclass threshold-based classification
by: Marchetti, Francesco, et al.
Published: (2025)
by: Marchetti, Francesco, et al.
Published: (2025)
Similar Items
-
Kernel Density Estimation for Multiclass Quantification
by: Moreo, Alejandro, et al.
Published: (2023) -
Risk-Consistent Multiclass Learning from Random Label-Subset Membership Queries
by: Su, Jiaxu, et al.
Published: (2026) -
MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning
by: Li, Xingyu, et al.
Published: (2024) -
GraphFedMIG: Tackling Class Imbalance in Federated Graph Learning via Mutual Information-Guided Generation
by: Li, Xinrui, et al.
Published: (2025) -
Class-Dependent Hybrid Data Augmentation for Multiclass Migraine Classification under Severe Class Imbalance
by: Somón, Elvin, et al.
Published: (2026)