feature selection

ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data ICML 2024 Pruning From Scratch via Shared Pruning Module and Nuclear Norm-Based Regularization WACV 2024 RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection CVPR 2024 Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms ICLR 2024 Robust AI-Generated Text Detection by Restricted Embeddings EMNLP 2024 Selective Deep Autoencoder for Unsupervised Feature Selection AAAI 2024 Selective Perception: Learning Concise State Descriptions for Language Model Actors NAACL 2024 Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data NeurIPS 2024 SLICE: Stabilized LIME for Consistent Explanations for Image Classification CVPR 2024 Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization CVPR 2024 Supervised Feature Selection via Ensemble Gradient Information from Sparse Neural Networks AISTATS 2024 The Impact of Features Used by Algorithms on Perceptions of Fairness IJCAI 2024 The Non-Overlapping Statistical Approximation to Overlapping Group Lasso JMLR 2024 Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach CVPR 2024 Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024 Unified Transfer Learning in High-Dimensional Linear Regression AISTATS 2024 Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection CVPR 2024 Using Noise to Infer Aspects of Simplicity Without Learning NeurIPS 2024 A Multi-Surrogate Assisted Salp Swarm Feature Selection Algorithm with Multi-Population Adaptive Generation Strategy for Classification ACML 2023 An Additive Instance-Wise Approach to Multi-class Model Interpretation ICLR 2023 Annotating Decomposition in Time: Three Approaches for Again ACL 2023 Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023 A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning NeurIPS 2023 A Rigorous Information-Theoretic Definition of Redundancy and Relevancy in Feature Selection Based on (Partial) Information Decomposition JMLR 2023 A Unified Perspective on Regularization and Perturbation in Differentiable Subset Selection AISTATS 2023