Redundancy-optimized Multi-head Attention Networks for Multi-View Multi-Label Feature Selection
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yuzhou, Liu, Jiarui, Gao, Wanfu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
by: Hao, Pingting, et al.
Published: (2025)
by: Hao, Pingting, et al.
Published: (2025)
Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection
by: Chen, Zhiqi, et al.
Published: (2025)
by: Chen, Zhiqi, et al.
Published: (2025)
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
SEHFS: Structural Entropy-Guided High-Order Correlation Learning for Multi-View Multi-Label Feature Selection
by: Peng, Cheng, et al.
Published: (2026)
by: Peng, Cheng, et al.
Published: (2026)
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
by: Pan, Hanlin, et al.
Published: (2025)
by: Pan, Hanlin, et al.
Published: (2025)
The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
Ca-MCF: Category-level Multi-label Causal Feature selection
by: Gao, Wanfu, et al.
Published: (2026)
by: Gao, Wanfu, et al.
Published: (2026)
From Ambiguity to Action: A POMDP Perspective on Partial Multi-Label Ambiguity and Its Horizon-One Resolution
by: Pan, Hanlin, et al.
Published: (2026)
by: Pan, Hanlin, et al.
Published: (2026)
Multi-Class Traffic Assignment using Multi-View Heterogeneous Graph Attention Networks
by: Liu, Tong, et al.
Published: (2025)
by: Liu, Tong, et al.
Published: (2025)
Beyond Correlation: Causal Multi-View Unsupervised Feature Selection Learning
by: Shen, Zongxin, et al.
Published: (2025)
by: Shen, Zongxin, et al.
Published: (2025)
Causal Multi-Label Feature Selection in Federated Setting
by: Song, Yukun, et al.
Published: (2024)
by: Song, Yukun, et al.
Published: (2024)
MAFS: Multi-head Attention Feature Selection for High-Dimensional Data via Deep Fusion of Filter Methods
by: Sun, Xiaoyan, et al.
Published: (2026)
by: Sun, Xiaoyan, et al.
Published: (2026)
Multi-head Temporal Latent Attention
by: Deng, Keqi, et al.
Published: (2025)
by: Deng, Keqi, et al.
Published: (2025)
On the Optimization and Generalization of Multi-head Attention
by: Deora, Puneesh, et al.
Published: (2023)
by: Deora, Puneesh, et al.
Published: (2023)
Dual-Agent Reinforcement Learning for Automated Feature Generation
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
Multi-Objective Genetic Algorithm for Multi-View Feature Selection
by: Imani, Vandad, et al.
Published: (2023)
by: Imani, Vandad, et al.
Published: (2023)
Tensor-Fused Multi-View Graph Contrastive Learning
by: Wu, Yujia, et al.
Published: (2024)
by: Wu, Yujia, et al.
Published: (2024)
Hallucinated Span Detection with Multi-View Attention Features
by: Ogasa, Yuya, et al.
Published: (2025)
by: Ogasa, Yuya, et al.
Published: (2025)
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
by: Zhou, Ao, et al.
Published: (2024)
by: Zhou, Ao, et al.
Published: (2024)
Multi-View Semi-Supervised Label Distribution Learning with Local Structure Complementarity
by: Xiao, Yanshan, et al.
Published: (2025)
by: Xiao, Yanshan, et al.
Published: (2025)
Semi-Supervised Federated Multi-Label Feature Selection with Fuzzy Information Measures
by: Mahanipour, Afsaneh, et al.
Published: (2025)
by: Mahanipour, Afsaneh, et al.
Published: (2025)
Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning
by: Zhong, Yan, et al.
Published: (2025)
by: Zhong, Yan, et al.
Published: (2025)
Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data
by: Huang, Yanyong, et al.
Published: (2024)
by: Huang, Yanyong, et al.
Published: (2024)
FOCAL-Attention for Heterogeneous Multi-Label Prediction
by: Zhang, Chenghao, et al.
Published: (2026)
by: Zhang, Chenghao, et al.
Published: (2026)
Two-Stage Feature Generation with Transformer and Reinforcement Learning
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
A Multi-head Attention Fusion Network for Industrial Prognostics under Discrete Operational Conditions
by: Su, Yuqi, et al.
Published: (2026)
by: Su, Yuqi, et al.
Published: (2026)
GPMFS: Global Foundation and Personalized Optimization for Multi-Label Feature Selection
by: Cao, Yifan, et al.
Published: (2025)
by: Cao, Yifan, et al.
Published: (2025)
Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples
by: Zhou, Ao, et al.
Published: (2024)
by: Zhou, Ao, et al.
Published: (2024)
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
by: Yang, Li, et al.
Published: (2024)
by: Yang, Li, et al.
Published: (2024)
TFWT: Tabular Feature Weighting with Transformer
by: Zhang, Xinhao, et al.
Published: (2024)
by: Zhang, Xinhao, et al.
Published: (2024)
Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data
by: Li, Yuxuan, et al.
Published: (2024)
by: Li, Yuxuan, et al.
Published: (2024)
TRUST-FS: Tensorized Reliable Unsupervised Multi-View Feature Selection for Incomplete Data
by: Lu, Minghui, et al.
Published: (2025)
by: Lu, Minghui, et al.
Published: (2025)
Explicit Multi-head Attention for Inter-head Interaction in Large Language Models
by: Peng, Runyu, et al.
Published: (2026)
by: Peng, Runyu, et al.
Published: (2026)
Feature-Label Modal Alignment for Robust Partial Multi-Label Learning
by: Chen, Yu, et al.
Published: (2026)
by: Chen, Yu, et al.
Published: (2026)
Group-Feature (Sensor) Selection With Controlled Redundancy Using Neural Networks
by: Saha, Aytijhya, et al.
Published: (2023)
by: Saha, Aytijhya, et al.
Published: (2023)
When More Experts Hurt: Underfitting in Multi-Expert Learning to Defer
by: Liu, Shuqi, et al.
Published: (2026)
by: Liu, Shuqi, et al.
Published: (2026)
A Random Matrix Theory Perspective on the Learning Dynamics of Multi-head Latent Attention
by: Jha, Nandan Kumar, et al.
Published: (2025)
by: Jha, Nandan Kumar, et al.
Published: (2025)
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data
by: Wang, Zhenzhong, et al.
Published: (2024)
by: Wang, Zhenzhong, et al.
Published: (2024)
CONDEN-FI: Consistency and Diversity Learning-based Multi-View Unsupervised Feature and In-stance Co-Selection
by: Huang, Yanyong, et al.
Published: (2024)
by: Huang, Yanyong, et al.
Published: (2024)
Similar Items
-
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
by: Hao, Pingting, et al.
Published: (2025) -
Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection
by: Chen, Zhiqi, et al.
Published: (2025) -
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
by: Gao, Wanfu, et al.
Published: (2025) -
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
by: Gao, Wanfu, et al.
Published: (2025) -
SEHFS: Structural Entropy-Guided High-Order Correlation Learning for Multi-View Multi-Label Feature Selection
by: Peng, Cheng, et al.
Published: (2026)