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Feature Selection

462 directly classified papers

Papers per year

Papers

Distributed Feature Screening via Componentwise Debiasing JMLR 2020
Coresets for Data-efficient Training of Machine Learning Models ICML 2020
IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation AAAI 2020
Fiedler Regularization: Learning Neural Networks with Graph Sparsity ICML 2020
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module IJCAI 2020
Multi-label Feature Selection via Global Relevance and Redundancy Optimization IJCAI 2020
Deep Direct Likelihood Knockoffs NIPS 2020
Detecting Trending Terms in Cybersecurity Forum Discussions EMNLP 2020
Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020
Characterizing the Value of Information in Medical Notes EMNLP 2020
Learning Feature Sparse Principal Subspace NIPS 2020
A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2 EMNLP 2020
To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer AAAI 2020
Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract) AAAI 2020
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models L4DC 2020
Robust Self-Weighted Multi-View Projection Clustering AAAI 2020
Multi-Label Causal Feature Selection AAAI 2020
Stable Learning via Sample Reweighting AAAI 2020
Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020
Uncertainty Based Camera Model Selection CVPR 2020
Instance-wise Feature Grouping NIPS 2020
Worst-Case Discriminative Feature Selection IJCAI 2019
Sobolev Independence Criterion NIPS 2019
Quality and Coverage: The AFRL Submission to the WMT19 Parallel Corpus Filtering for Low-Resource Conditions Task ACL 2019
Fast structure learning with modular regularization NIPS 2019