Feature Selection

Improving Speech Recognition of Compound-Rich Languages Interspeech 2020 Instance-wise Feature Grouping NeurIPS 2020 IVFS: Simple and Efficient Feature Selection for High Dimensional Topology Preservation AAAI 2020 Learning Feature Sparse Principal Subspace NeurIPS 2020 LMLFM: Longitudinal Multi-Level Factorization Machine AAAI 2020 Multi-Label Causal Feature Selection AAAI 2020 Multi-label Feature Selection via Global Relevance and Redundancy Optimization IJCAI 2020 Optimizing the Feature Selection Process for Better Accuracy in Datasets with a Large Number of Features (Student Abstract) AAAI 2020 Outlier Detection Ensemble with Embedded Feature Selection AAAI 2020 Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data AAAI 2020 Rank-based Lasso - efficient methods for high-dimensional robust model selection JMLR 2020 Revisiting Probability Distribution Assumptions for Information Theoretic Feature Selection AAAI 2020 Robust Self-Weighted Multi-View Projection Clustering AAAI 2020 Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds CVPR 2020 Simple and Scalable Sparse k-means Clustering via Feature Ranking NeurIPS 2020 Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models L4DC 2020 Sparse Hilbert-Schmidt Independence Criterion Regression AISTATS 2020 Stable Learning via Sample Reweighting AAAI 2020 To Avoid the Pitfall of Missing Labels in Feature Selection: A Generative Model Gives the Answer AAAI 2020 Towards a Combinatorial Characterization of Bounded-Memory Learning NeurIPS 2020 Uncertainty Based Camera Model Selection CVPR 2020 Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020 A Debiased MDI Feature Importance Measure for Random Forests NeurIPS 2019 AFS: An Attention-Based Mechanism for Supervised Feature Selection AAAI 2019 A Probabilistic Derivation of LASSO and L12-Norm Feature Selections AAAI 2019