Feature Selection
511 papers
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Papers
Post-selection inference with HSIC-Lasso
ICML 2021
Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics
EMNLP 2021
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models
AAAI 2021
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
CVPR 2021
Sparse and Smooth Signal Estimation: Convexification of L0-Formulations
JMLR 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient
ICML 2021
Sparsity-Agnostic Lasso Bandit
ICML 2021
SPECTRE: defending against backdoor attacks using robust statistics
ICML 2021
Speeding Up Transformer Training By Using Dataset Subsampling - An Exploratory Analysis
EMNLP 2021
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
EMNLP 2021
A Comprehensive Dictionary and Term Variation Analysis for COVID-19 and SARS-CoV-2
EMNLP 2020
A determinantal point process for column subset selection
JMLR 2020
A Non-Trivial Algorithm Enumerating Relevant Features over Finite Fields
ALT 2020
Augmenting Neural Metaphor Detection with Concreteness
ACL 2020
A Universal Dependencies Conversion Pipeline for a Penn-format Constituency Treebank
COLING 2020
Characterizing the Value of Information in Medical Notes
EMNLP 2020
Coresets for Data-efficient Training of Machine Learning Models
ICML 2020
Deep Direct Likelihood Knockoffs
NeurIPS 2020
Detecting Trending Terms in Cybersecurity Forum Discussions
EMNLP 2020
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module
IJCAI 2020
Distributed Feature Screening via Componentwise Debiasing
JMLR 2020
Dual Iterative Hard Thresholding
JMLR 2020
Feature Importance Ranking for Deep Learning
NeurIPS 2020
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
ICML 2020
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix
JMLR 2020