Unveiling the Power of Sparse Neural Networks for Feature Selection

Unveiling the Power of Sparse Neural Networks for Feature Selection

8 August 2024

Zahra Atashgahi

Mykola Pechenizkiy

Raymond N. J. Veldhuis

Decebal Constantin Mocanu

Papers citing "Unveiling the Power of Sparse Neural Networks for Feature Selection"

19 / 19 papers shown

Title
Where to Pay Attention in Sparse Training for Feature Selection? Ghada Sokar Zahra Atashgahi Mykola Pechenizkiy Decebal Constantin Mocanu 52 19 0 26 Nov 2022
Local Contrastive Feature learning for Tabular Data Zhabiz Gharibshah Xingquan Zhu SSL 20 8 0 19 Nov 2022
Composite Feature Selection using Deep Ensembles F. Imrie Alexander Norcliffe Pietro Lio M. Schaar 52 12 0 01 Nov 2022
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge Geng Yuan Xiaolong Ma Wei Niu Zhengang Li Zhenglun Kong ... Minghai Qin Bin Ren Yanzhi Wang Sijia Liu Xue Lin 54 93 0 26 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 98 683 0 05 Oct 2021
Dynamic Sparse Training for Deep Reinforcement Learning Ghada Sokar Elena Mocanu Decebal Constantin Mocanu Mykola Pechenizkiy Peter Stone 59 57 0 08 Jun 2021
Top-KAST: Top-K Always Sparse Training Siddhant M. Jayakumar Razvan Pascanu Jack W. Rae Simon Osindero Erich Elsen 138 97 0 07 Jun 2021
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training Gowthami Somepalli Micah Goldblum Avi Schwarzschild C. Bayan Bruss Tom Goldstein LMTD 85 325 0 02 Jun 2021
Sparse Training Theory for Scalable and Efficient Agents Decebal Constantin Mocanu Elena Mocanu T. Pinto Selima Curci Phuong H. Nguyen M. Gibescu D. Ernst Z. Vale 62 17 0 02 Mar 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 305 717 0 31 Jan 2021
Feature Importance Ranking for Deep Learning Maksymilian Wojtas Ke Chen 172 117 0 18 Oct 2020
The Hardware Lottery Sara Hooker 63 211 0 14 Sep 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 408 42,393 0 03 Dec 2019
Rigging the Lottery: Making All Tickets Winners Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen 184 600 0 25 Nov 2019
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 165 1,345 0 20 Aug 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 109 1,457 0 02 Aug 2019
LassoNet: A Neural Network with Feature Sparsity Ismael Lemhadri Feng Ruan L. Abraham Robert Tibshirani 78 129 0 29 Jul 2019
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science Decebal Constantin Mocanu Elena Mocanu Peter Stone Phuong H. Nguyen M. Gibescu A. Liotta 170 628 0 15 Jul 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 191 9,545 0 31 Mar 2017