← Core Methods
Machine Learning › Core Methods ›

Feature Selection

462 directly classified papers

Papers per year

Papers

Integral-based Knockoffs Inference for Partially Linear Models AAAI 2026
Sparse Additive Model Pruning for Order-Based Causal Structure Learning AAAI 2026
Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning AAAI 2026
Redundancy-optimized Multi-head Attention Networks for Multi-view Multi-label Feature Selection AAAI 2026
MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts EMNLP 2025
Disentangling the Roles of Representation and Selection in Data Pruning ACL 2025
Feature Selection for Latent Factor Models CVPR 2025
Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection ACL 2025
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection AAAI 2025
Federated Causally Invariant Feature Learning AAAI 2025
TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability EMNLP 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025
Context Minimization for Resource-Constrained Text Classification: Optimizing Performance-Efficiency Trade-offs through Linguistic Features EMNLP 2025
Adaptive Dataset Quantization AAAI 2025
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning IJCAI 2025
MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery IJCAI 2025
Rank-one Convexification for Sparse Regression JMLR 2025
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method IJCAI 2025
Reinforcement Learning-Guided Data Selection via Redundancy Assessment ICCV 2025
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing AAAI 2025
TIME-FS: Joint Learning of Tensorial Incomplete Multi-View Unsupervised Feature Selection and Missing-View Imputation AAAI 2025
Tab-Shapley: Identifying Top-k Tabular Data Quality Insights AAAI 2025
Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract) AAAI 2025
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries ACL 2025
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection AAAI 2025