feature selection

649 papers

Explore in graph

Also known as

RFECV FS

Co-occurring keywords

support vector machine (976) dimensionality reduction (720) sparse optimization (246) kernel methods (1096) variable selection (146) sparse regression (175) convex optimization (1320) text classification (6776) high-dimensional datum (157) unsupervised learning (3255)

Papers

Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract) AAAI 2025

Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation AAAI 2025

SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification NAACL 2025

Evolutionary Classifier Chain for Multi-Dimensional Classification AAAI 2025

One Node One Model: Featuring the Missing-Half for Graph Clustering AAAI 2025

Human Interpretable Virtual Metrology in the Semiconductor Manufacturing AAAI 2025

Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs ACL 2025

Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models EMNLP 2025

Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method IJCAI 2025

Selective Perception: Learning Concise State Descriptions for Language Model Actors NAACL 2024

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach AAAI 2024

Pruning From Scratch via Shared Pruning Module and Nuclear Norm-Based Regularization WACV 2024

PEACH: Pretrained-Embedding Explanation across Contextual and Hierarchical Structure IJCAI 2024

Cardinality-Aware Set Prediction and Top-$k$ Classification NIPS 2024

Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning AAAI 2024

Optimal Sparse Survival Trees AISTATS 2024

Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency AAAI 2024

Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic JMLR 2024

Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks AISTATS 2024

Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024

Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024

Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024

Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024

Confident Feature Ranking AISTATS 2024

MINTY: Rule-based models that minimize the need for imputing features with missing values AISTATS 2024