Quick and Robust Feature Selection: the Strength of Energy-efficient
Sparse Training for Autoencoders

Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders

1 December 2020

Zahra Atashgahi

Raymond N. J. Veldhuis

Mykola Pechenizkiy

Papers citing "Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders"

13 / 13 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
Sparse-to-Sparse Training of Diffusion Models Inês Cardoso Oliveira Decebal Constantin Mocanu Luis A. Leiva DiffM 86 0 0 30 Apr 2025
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation Boqian Wu Q. Xiao Shiwei Liu Lu Yin Mykola Pechenizkiy D. Mocanu M. V. Keulen Elena Mocanu MedIm 53 4 0 20 Feb 2025
Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection Xiaochen Zhang Yunfeng Cai Haoyi Xiong 47 0 0 28 Jan 2025
Dynamic Sparse Training versus Dense Training: The Unexpected Winner in Image Corruption Robustness Boqian Wu Q. Xiao Shunxin Wang N. Strisciuglio Mykola Pechenizkiy M. V. Keulen D. Mocanu Elena Mocanu OOD 3DH 52 0 0 03 Oct 2024
RelChaNet: Neural Network Feature Selection using Relative Change Scores Felix Zimmer 24 0 0 03 Oct 2024
UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection Z. Zang Yongjie Xu Linyan Lu Yu Geng Senqiao Yang Stan Z. Li 30 12 0 08 Jul 2022
Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance Shiwei Liu Yuesong Tian Tianlong Chen Li Shen 36 8 0 05 Mar 2022
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning Utku Evci Vincent Dumoulin Hugo Larochelle Michael C. Mozer 25 83 0 10 Jan 2022
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse Networks Ghada Sokar D. Mocanu Mykola Pechenizkiy CLL 32 8 0 11 Oct 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zhangyang Wang D. Mocanu OOD 28 49 0 28 Jun 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration Shiwei Liu Tianlong Chen Xiaohan Chen Zahra Atashgahi Lu Yin Huanyu Kou Li Shen Mykola Pechenizkiy Zhangyang Wang D. Mocanu 34 111 0 19 Jun 2021
Sparse Training Theory for Scalable and Efficient Agents D. Mocanu Elena Mocanu T. Pinto Selima Curci Phuong H. Nguyen M. Gibescu D. Ernst Z. Vale 45 17 0 02 Mar 2021