Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Core Methods
Machine Learning
›
Core Methods
›
Feature Selection
462 directly classified papers
Papers per year
2001: 1
2003: 11
2004: 4
2005: 1
2006: 6
2007: 13
2008: 8
2009: 11
2010: 17
2011: 14
2012: 18
2013: 26
2014: 20
2015: 14
2016: 23
2017: 27
2018: 24
2019: 28
2020: 35
2021: 29
2022: 34
2023: 36
2024: 32
2025: 26
2026: 4
Papers
Federated Causally Invariant Feature Learning
AAAI 2025
Rank-one Convexification for Sparse Regression
JMLR 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment
EMNLP 2025
MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts
EMNLP 2025
Sparse Semiparametric Discriminant Analysis for High-dimensional Zero-inflated Data
JMLR 2025
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning
CVPR 2024
Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks
AISTATS 2024
Decorrelated Variable Importance
JMLR 2024
BlockBoost: Scalable and Efficient Blocking through Boosting
AISTATS 2024
Exploration of the Search Space of Gaussian Graphical Models for Paired Data
JMLR 2024
End-to-end Feature Selection Approach for Learning Skinny Trees
AISTATS 2024
More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization
JMLR 2024
Discriminability-Driven Channel Selection for Out-of-Distribution Detection
CVPR 2024
Quilt: Robust Data Segment Selection against Concept Drifts
AAAI 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
AAAI 2024
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference
IJCAI 2024
Permutation-Based Hypothesis Testing for Neural Networks
AAAI 2024
CGS-Mask: Making Time Series Predictions Intuitive for All
AAAI 2024
DeRDaVa: Deletion-Robust Data Valuation for Machine Learning
AAAI 2024
Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding
AAAI 2024
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection
AAAI 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
NIPS 2024
Embedded Feature Selection on Graph-Based Multi-View Clustering
AAAI 2024
Selective Deep Autoencoder for Unsupervised Feature Selection
AAAI 2024
Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning
AAAI 2024
<
1
2
3
4
5
…
19
>