Geometric Manifold Rectification for Imbalanced Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xubin, Li, Qing, Jia, Weijia |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment
by: Wang, Xubin, et al.
Published: (2025)
by: Wang, Xubin, et al.
Published: (2025)
Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning
by: Wang, Xubin, et al.
Published: (2026)
by: Wang, Xubin, et al.
Published: (2026)
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
by: Wang, Xubin, et al.
Published: (2024)
by: Wang, Xubin, et al.
Published: (2024)
ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
by: Fu, Yihang, et al.
Published: (2025)
by: Fu, Yihang, et al.
Published: (2025)
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
by: Wang, Xubin, et al.
Published: (2025)
by: Wang, Xubin, et al.
Published: (2025)
FedSDR: Federated Self-Distillation with Rectification
by: Ren, Ziheng, et al.
Published: (2026)
by: Ren, Ziheng, et al.
Published: (2026)
SPAR: Support-Preserving Action Rectification
by: Zhao, Jiaxin, et al.
Published: (2026)
by: Zhao, Jiaxin, et al.
Published: (2026)
Annealing Self-Distillation Rectification Improves Adversarial Training
by: Wu, Yu-Yu, et al.
Published: (2023)
by: Wu, Yu-Yu, et al.
Published: (2023)
FORLER: Federated Offline Reinforcement Learning with Q-Ensemble and Actor Rectification
by: Qiao, Nan, et al.
Published: (2026)
by: Qiao, Nan, et al.
Published: (2026)
Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
by: Li, Yu, et al.
Published: (2026)
by: Li, Yu, et al.
Published: (2026)
The Geometric Reasoner: Manifold-Informed Latent Foresight Search for Long-Context Reasoning
by: Zhuang, Ren, et al.
Published: (2026)
by: Zhuang, Ren, 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)
Causal Manifold Fairness: Enforcing Geometric Invariance in Representation Learning
by: Rathore, Vidhi
Published: (2026)
by: Rathore, Vidhi
Published: (2026)
Mode-Dependent Rectification for Stable PPO Training
by: Mohamad, Mohamad, et al.
Published: (2026)
by: Mohamad, Mohamad, et al.
Published: (2026)
Efficient Rectification of Neuro-Symbolic Reasoning Inconsistencies by Abductive Reflection
by: Hu, Wen-Chao, et al.
Published: (2024)
by: Hu, Wen-Chao, et al.
Published: (2024)
Geometric Flow Matching for Molecular Conformation Generation via Manifold Decomposition
by: Liu, Yunqing, et al.
Published: (2026)
by: Liu, Yunqing, et al.
Published: (2026)
Fed-Credit: Robust Federated Learning with Credibility Management
by: Chen, Jiayan, et al.
Published: (2024)
by: Chen, Jiayan, et al.
Published: (2024)
BalanceBenchmark: A Survey for Multimodal Imbalance Learning
by: Xu, Shaoxuan, et al.
Published: (2025)
by: Xu, Shaoxuan, et al.
Published: (2025)
IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
by: Qin, Jiawen, et al.
Published: (2024)
by: Qin, Jiawen, et al.
Published: (2024)
Designing an efficient and equitable humanitarian supply chain dynamically via reinforcement learning
by: Jin, Weijia
Published: (2025)
by: Jin, Weijia
Published: (2025)
Learning to Estimate Package Delivery Time in Mixed Imbalanced Delivery and Pickup Logistics Services
by: Yi, Jinhui, et al.
Published: (2025)
by: Yi, Jinhui, et al.
Published: (2025)
REMEDI: Relative Feature Enhanced Meta-Learning with Distillation for Imbalanced Prediction
by: Liu, Fei, et al.
Published: (2025)
by: Liu, Fei, et al.
Published: (2025)
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
by: Yu, Tianrun, et al.
Published: (2025)
by: Yu, Tianrun, et al.
Published: (2025)
Injecting Imbalance Sensitivity for Multi-Task Learning
by: Zhou, Zhipeng, et al.
Published: (2025)
by: Zhou, Zhipeng, et al.
Published: (2025)
Efficient Inference Using Large Language Models with Limited Human Data: Fine-Tuning then Rectification
by: Wang, Lei, et al.
Published: (2025)
by: Wang, Lei, et al.
Published: (2025)
Time-Series Contrastive Learning against False Negatives and Class Imbalance
by: Jin, Xiyuan, et al.
Published: (2023)
by: Jin, Xiyuan, et al.
Published: (2023)
A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees
by: Audemard, Gilles, et al.
Published: (2025)
by: Audemard, Gilles, et al.
Published: (2025)
Resilient Class-Incremental Learning: on the Interplay of Drifting, Unlabelled and Imbalanced Data Streams
by: Li, Jin, et al.
Published: (2026)
by: Li, Jin, et al.
Published: (2026)
On the Completeness of Invariant Geometric Deep Learning Models
by: Li, Zian, et al.
Published: (2024)
by: Li, Zian, et al.
Published: (2024)
Is Distance Matrix Enough for Geometric Deep Learning?
by: Li, Zian, et al.
Published: (2023)
by: Li, Zian, et al.
Published: (2023)
Balancing Knowledge Distillation for Imbalance Learning with Bilevel Optimization
by: Nguyen, Anh B. H., et al.
Published: (2026)
by: Nguyen, Anh B. H., et al.
Published: (2026)
Mitigating Participation Imbalance Bias in Asynchronous Federated Learning
by: Chang, Xiangyu, et al.
Published: (2025)
by: Chang, Xiangyu, et al.
Published: (2025)
Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem
by: Kachan, Oleg, et al.
Published: (2025)
by: Kachan, Oleg, et al.
Published: (2025)
Class-Imbalanced Graph Learning without Class Rebalancing
by: Liu, Zhining, et al.
Published: (2023)
by: Liu, Zhining, et al.
Published: (2023)
Reinforcement Learning with Promising Tokens for Large Language Models
by: Pang, Jing-Cheng, et al.
Published: (2026)
by: Pang, Jing-Cheng, et al.
Published: (2026)
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
by: Bai, Sikai, et al.
Published: (2023)
by: Bai, Sikai, et al.
Published: (2023)
DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning
by: Lee, Hyuck, et al.
Published: (2026)
by: Lee, Hyuck, et al.
Published: (2026)
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning
by: Wang, Zitong, et al.
Published: (2024)
by: Wang, Zitong, et al.
Published: (2024)
GeoDynamics: A Geometric State-Space Neural Network for Understanding Brain Dynamics on Riemannian Manifolds
by: Dan, Tingting, et al.
Published: (2026)
by: Dan, Tingting, et al.
Published: (2026)
Similar Items
-
Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment
by: Wang, Xubin, et al.
Published: (2025) -
Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning
by: Wang, Xubin, et al.
Published: (2026) -
MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection
by: Wang, Xubin, et al.
Published: (2024) -
ManifoldFormer: Geometric Deep Learning for Neural Dynamics on Riemannian Manifolds
by: Fu, Yihang, et al.
Published: (2025) -
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
by: Wang, Xubin, et al.
Published: (2025)