Concrete Autoencoders for Differentiable Feature Selection and Reconstruction

27 January 2019

Papers citing "Concrete Autoencoders for Differentiable Feature Selection and Reconstruction"

50 / 91 papers shown

Title
SAND: One-Shot Feature Selection with Additive Noise Distortion P. Pad Hadi Hammoud Mohamad Dia Nadim Maamari L. A. Dunbar 28 0 0 06 May 2025
Adversarial Subspace Generation for Outlier Detection in High-Dimensional Data Jose Cribeiro-Ramallo Federico Matteucci Paul Enciu Alexander Jenke Vadim Arzamasov Thorsten Strufe Klemens Böhm 31 0 0 10 Apr 2025
A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning Ehsan Hallaji R. Razavi-Far M. Saif 40 0 0 11 Feb 2025
Unveiling the Power of Sparse Neural Networks for Feature Selection Zahra Atashgahi Tennison Liu Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu M. Schaar 31 3 0 08 Aug 2024
Revisiting Score Function Estimators for $k$ -Subset Sampling Klas Wijk Ricardo Vinuesa Hossein Azizpour TDI 32 1 0 22 Jul 2024
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation Jiaxing Zhang Jiayi Liu Dongsheng Luo Jennifer Neville Hua Wei 35 2 0 22 Jul 2024
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions Harrie Oosterhuis Lijun Lyu Avishek Anand FAtt 35 1 0 16 Jul 2024
Spectral Self-supervised Feature Selection Daniel Segal Ofir Lindenbaum Ariel Jaffe 43 0 0 12 Jul 2024
Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks Thomas Strypsteen Alexander Bertrand 25 1 0 03 Jun 2024
A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets Karim Salta T. Ghosh Michael Kirby 25 0 0 04 May 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation Yuda Shao Shan Yu Tianshu Feng 34 1 0 10 Mar 2024
Indirectly Parameterized Concrete Autoencoders Alfred Nilsson Klas Wijk Sai Bharath Chandra Gutha Erik Englesson A. Hotti Carlo Saccardi Oskar Kviman Jens Lagergren Ricardo Vinuesa Hossein Azizpour 38 1 0 01 Mar 2024
LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models Pedro Seber R. D. Braatz 44 3 0 27 Feb 2024
Dropout Concrete Autoencoder for Band Selection on HSI Scenes Lei Xu Mete Ahishali Moncef Gabbouj 11 0 0 29 Jan 2024
Study Features via Exploring Distribution Structure Chunxu Cao Qiang Zhang 11 0 0 15 Jan 2024
Feature Selection via Maximizing Distances between Class Conditional Distributions Chunxu Cao Qiang Zhang 18 0 0 15 Jan 2024
A Contrast Based Feature Selection Algorithm for High-dimensional Data set in Machine Learning Chunxu Cao Qiang Zhang 17 1 0 15 Jan 2024
Deep Learning for Efficient GWAS Feature Selection Kexuan Li 26 0 0 22 Dec 2023
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning Valeriia Cherepanova Roman Levin Gowthami Somepalli Jonas Geiping C. Bayan Bruss Andrew Gordon Wilson Tom Goldstein Micah Goldblum 34 18 0 10 Nov 2023
Feature Selection in the Contrastive Analysis Setting Ethan Weinberger Ian Covert Su-In Lee 40 2 0 27 Oct 2023
A distributed neural network architecture for dynamic sensor selection with application to bandwidth-constrained body-sensor networks Thomas Strypsteen Alexander Bertrand 11 0 0 16 Aug 2023
Copula for Instance-wise Feature Selection and Ranking Hanyu Peng Guanhua Fang P. Li 36 3 0 01 Aug 2023
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task Jiaxing Zhang Zhuomin Chen Hao Mei Dongsheng Luo Hua Wei 45 8 0 15 Jul 2023
MixupExplainer: Generalizing Explanations for Graph Neural Networks with Data Augmentation Jiaxing Zhang Dongsheng Luo Huazhou Wei 25 20 0 15 Jul 2023
Enhancing Representation Learning on High-Dimensional, Small-Size Tabular Data: A Divide and Conquer Method with Ensembled VAEs Navindu Leelarathna Andrei Margeloiu M. Jamnik Nikola Simidjievski DRL 39 1 0 27 Jun 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders Luca Anzalone S. S. Chhibra B. Maier N. Chernyavskaya M. Pierini AI4CE 35 4 0 22 Jun 2023
Incorporating Prior Knowledge in Deep Learning Models via Pathway Activity Autoencoders Pedro H. C. Avelar Min-Ying Wu S. Tsoka 19 0 0 09 Jun 2023
Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection T. Ghosh Michael Kirby Karim Karimov 17 0 0 07 Jun 2023
Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder T. Ghosh Michael Kirby 39 0 0 07 Jun 2023
Interpretable Deep Clustering for Tabular Data Jonathan Svirsky Ofir Lindenbaum 46 6 0 07 Jun 2023
$Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph$ Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph Camilo Ruiz Hongyu Ren Kexin Huang J. Leskovec 33 2 0 07 Jun 2023
Estimating Conditional Mutual Information for Dynamic Feature Selection S. Gadgil Ian Covert Su-In Lee 34 3 0 05 Jun 2023
Autoencoding Conditional Neural Processes for Representation Learning Victor Prokhorov Ivan Titov N. Siddharth BDL 20 0 0 29 May 2023
Joint Feature and Differentiable $k$ -NN Graph Learning using Dirichlet Energy Lei Xu Lei Chen Rong Wang Feiping Nie Xuelong Li 29 1 0 21 May 2023
SLM: End-to-end Feature Selection via Sparse Learnable Masks Yihe Dong Sercan Ö. Arik 32 3 0 06 Apr 2023
How good Neural Networks interpretation methods really are? A quantitative benchmark Antoine Passemiers Pietro Folco D. Raimondi G. Birolo Yves Moreau P. Fariselli FAtt 24 2 0 05 Apr 2023
Unsupervised Feature Selection to Identify Important ICD-10 Codes for Machine Learning: A Case Study on a Coronary Artery Disease Patient Cohort Peyman Ghasemi Joon-hyung Lee 38 1 0 25 Mar 2023
Multi-modal Differentiable Unsupervised Feature Selection Junchen Yang Ofir Lindenbaum Y. Kluger Ariel Jaffe 22 3 0 16 Mar 2023
Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks Zahra Atashgahi Xuhao Zhang Neil Kichler Shiwei Liu Lu Yin Mykola Pechenizkiy Raymond N. J. Veldhuis Decebal Constantin Mocanu 18 10 0 10 Mar 2023
Learning Topology-Specific Experts for Molecular Property Prediction S. Kim Dongha Lee SeongKu Kang Seonghyeon Lee Hwanjo Yu AAML 30 11 0 27 Feb 2023
Language as a Latent Sequence: deep latent variable models for semi-supervised paraphrase generation Jialin Yu Alexandra I. Cristea Anoushka Harit Zhongtian Sun O. Aduragba Lei Shi Noura Al Moubayed VLM BDL DRL 22 3 0 05 Jan 2023
Learning to Maximize Mutual Information for Dynamic Feature Selection Ian Covert Wei Qiu Mingyu Lu Nayoon Kim Nathan White Su-In Lee 26 29 0 02 Jan 2023
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 35 5 0 30 Nov 2022
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data Andrei Margeloiu Nikola Simidjievski Pietro Lio M. Jamnik 27 12 0 28 Nov 2022
Where to Pay Attention in Sparse Training for Feature Selection? Ghada Sokar Zahra Atashgahi Mykola Pechenizkiy Decebal Constantin Mocanu 35 17 0 26 Nov 2022
Variable selection for nonlinear Cox regression model via deep learning Kexuan Li 33 6 0 17 Nov 2022
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu Nikola Simidjievski Pietro Lio M. Jamnik DD AI4CE 22 5 0 11 Nov 2022
Composite Feature Selection using Deep Ensembles F. Imrie Alexander Norcliffe Pietro Lio M. Schaar 42 12 0 01 Nov 2022
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection Stefano B. Blumberg Paddy J. Slator Daniel C. Alexander 42 1 0 13 Oct 2022
Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning Yiwen Liao Raphael Latty Bin Yang 16 0 0 30 Sep 2022