"feature selection" Papers
13 papers found
Conference
Distributionally Robust Feature Selection
Maitreyi Swaroop, Tamar Krishnamurti, Bryan Wilder
NEURIPS 2025arXiv:2510.21113
Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
Erel Naor, Ofir Lindenbaum
NEURIPS 2025arXiv:2511.06961
1
citations
Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting
Yilun Zheng, Xiang Li, Sitao Luan et al.
ICLR 2025
7
citations
QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification
Qian Tang, Yuwen Gu, Boxiang Wang
NEURIPS 2025
Self-Assembling Graph Perceptrons
Jialong Chen, Tong Wang, Bowen Deng et al.
NEURIPS 2025spotlight
Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection
Pingting Hao, Kunpeng Liu, Wanfu Gao
AAAI 2025paperarXiv:2503.14024
5
citations
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity
Xudong Li, Timin Gao, Runze Hu et al.
ICML 2024arXiv:2312.06158
11
citations
A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
Tobia Boschi, FRANCESCA BONIN, Rodrigo Ordonez-Hurtado et al.
ICML 2024arXiv:2401.05765
6
citations
Discovering Features with Synergistic Interactions in Multiple Views
Chohee Kim, M van der Schaar, Changhee Lee
ICML 2024
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat, Alexander Immer, Hugo Yèche et al.
ICML 2024arXiv:2305.16905
13
citations
Indirectly Parameterized Concrete Autoencoders
Alfred Nilsson, Klas Wijk, Sai bharath chandra Gutha et al.
ICML 2024arXiv:2403.00563
3
citations
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Ximiao Zhang, Min Xu, Xiuzhuang Zhou
CVPR 2024arXiv:2403.05897
176
citations
Reweighted Solutions for Weighted Low Rank Approximation
David Woodruff, Taisuke Yasuda
ICML 2024arXiv:2406.02431
2
citations