Poster "feature selection" Papers

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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

Let Your Features Tell The Differences: Understanding Graph Convolution By Feature Splitting

Yilun Zheng, Xiang Li, Sitao Luan et al.

QuanDA: Quantile-Based Discriminant Analysis for High-Dimensional Imbalanced Classification

Qian Tang, Yuwen Gu, Boxiang Wang

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

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

Discovering Features with Synergistic Interactions in Multiple Views

Chohee Kim, M van der Schaar, Changhee Lee

Improving Neural Additive Models with Bayesian Principles

Kouroche Bouchiat, Alexander Immer, Hugo Yèche et al.

ICML 2024arXiv:2305.16905

Indirectly Parameterized Concrete Autoencoders

Alfred Nilsson, Klas Wijk, Sai bharath chandra Gutha et al.

ICML 2024arXiv:2403.00563

RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection

Ximiao Zhang, Min Xu, Xiuzhuang Zhou

CVPR 2024arXiv:2403.05897

Reweighted Solutions for Weighted Low Rank Approximation

David Woodruff, Taisuke Yasuda

ICML 2024arXiv:2406.02431