ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2010.08097
  4. Cited By
Consistent Feature Selection for Analytic Deep Neural Networks

Consistent Feature Selection for Analytic Deep Neural Networks

16 October 2020
Vu C. Dinh
L. Ho
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Consistent Feature Selection for Analytic Deep Neural Networks"

17 / 17 papers shown
Title
Efficient Model Compression for Bayesian Neural Networks
Efficient Model Compression for Bayesian Neural Networks
Diptarka Saha
Zihe Liu
Feng Liang
BDL
45
0
0
01 Nov 2024
Sparse deep neural networks for nonparametric estimation in
  high-dimensional sparse regression
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression
Dongya Wu
Xin Li
65
0
0
26 Jun 2024
Generative adversarial learning with optimal input dimension and its
  adaptive generator architecture
Generative adversarial learning with optimal input dimension and its adaptive generator architecture
Zhiyao Tan
Ling Zhou
Huazhen Lin
GAN
74
1
0
06 May 2024
Interpretable Prediction and Feature Selection for Survival Analysis
Interpretable Prediction and Feature Selection for Survival Analysis
Mike Van Ness
Madeleine Udell
88
2
0
23 Apr 2024
LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable
  Machine Learning Models
LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models
Pedro Seber
R. D. Braatz
75
3
0
27 Feb 2024
A Performance-Driven Benchmark for Feature Selection in Tabular Deep
  Learning
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
60
20
0
10 Nov 2023
End-to-end Feature Selection Approach for Learning Skinny Trees
End-to-end Feature Selection Approach for Learning Skinny Trees
Shibal Ibrahim
Kayhan Behdin
Rahul Mazumder
550
0
0
28 Oct 2023
A Generalization Bound of Deep Neural Networks for Dependent Data
A Generalization Bound of Deep Neural Networks for Dependent Data
Quan Huu Do
Binh T. Nguyen
L. Ho
AI4CE
40
0
0
09 Oct 2023
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO
  Regularization
Provable Identifiability of Two-Layer ReLU Neural Networks via LASSO Regularization
Geng Li
G. Wang
Jie Ding
51
3
0
07 May 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical
  Federated Learning
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning
Timothy Castiglia
Yi Zhou
Shiqiang Wang
S. Kadhe
Nathalie Baracaldo
S. Patterson
FedML
148
21
0
03 May 2023
Error Controlled Feature Selection for Ultrahigh Dimensional and Highly
  Correlated Feature Space Using Deep Learning
Error Controlled Feature Selection for Ultrahigh Dimensional and Highly Correlated Feature Space Using Deep Learning
Arkaprabha Ganguli
D. Todem
T. Maiti
OOD
91
0
0
15 Sep 2022
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity
  on Pruned Neural Networks
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks
Shuai Zhang
Meng Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
UQCVMLT
85
13
0
12 Oct 2021
Searching for Minimal Optimal Neural Networks
Searching for Minimal Optimal Neural Networks
L. Ho
Vu C. Dinh
42
5
0
27 Sep 2021
Adaptive Group Lasso Neural Network Models for Functions of Few
  Variables and Time-Dependent Data
Adaptive Group Lasso Neural Network Models for Functions of Few Variables and Time-Dependent Data
L. Ho
Nicholas Richardson
Giang Tran
87
3
0
24 Aug 2021
Neural graphical modelling in continuous-time: consistency guarantees
  and algorithms
Neural graphical modelling in continuous-time: consistency guarantees and algorithms
Alexis Bellot
K. Branson
M. Schaar
CMLAI4TS
96
46
0
06 May 2021
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means
  Clustering, Regularization, DropRule, and Powerball AdaBelief
FCM-RDpA: TSK Fuzzy Regression Model Construction Using Fuzzy C-Means Clustering, Regularization, DropRule, and Powerball AdaBelief
Zhenhua Shi
Dongrui Wu
Chenfeng Guo
Changming Zhao
Yuqi Cui
Fei Wang
80
55
0
30 Nov 2020
Rank-one Convexification for Sparse Regression
Rank-one Convexification for Sparse Regression
Alper Atamtürk
A. Gómez
220
50
0
29 Jan 2019
1