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Feature Selection using Stochastic Gates

Feature Selection using Stochastic Gates

9 October 2018
Yutaro Yamada
Ofir Lindenbaum
S. Negahban
Y. Kluger
ArXivPDFHTML

Papers citing "Feature Selection using Stochastic Gates"

13 / 13 papers shown
Title
Enabling tabular deep learning when $d \gg n$ with an auxiliary
  knowledge graph
Enabling tabular deep learning when d≫nd \gg nd≫n with an auxiliary knowledge graph
Camilo Ruiz
Hongyu Ren
Kexin Huang
J. Leskovec
33
2
0
07 Jun 2023
Automatic learning algorithm selection for classification via
  convolutional neural networks
Automatic learning algorithm selection for classification via convolutional neural networks
S. Maldonado
Carla Vairetti
Ignacio Figueroa
29
0
0
16 May 2023
Improving the Robustness of Neural Multiplication Units with Reversible
  Stochasticity
Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity
Bhumika Mistry
K. Farrahi
Jonathon S. Hare
AAML
16
0
0
10 Nov 2022
DiSC: Differential Spectral Clustering of Features
DiSC: Differential Spectral Clustering of Features
Ram Dyuthi Sristi
Gal Mishne
Ariel Jaffe
20
5
0
10 Nov 2022
SG-VAD: Stochastic Gates Based Speech Activity Detection
SG-VAD: Stochastic Gates Based Speech Activity Detection
Jonathan Svirsky
Ofir Lindenbaum
49
4
0
28 Oct 2022
Sequential Attention for Feature Selection
Sequential Attention for Feature Selection
T. Yasuda
M. Bateni
Lin Chen
Matthew Fahrbach
Gang Fu
Vahab Mirrokni
43
11
0
29 Sep 2022
Learning to Increase the Power of Conditional Randomization Tests
Learning to Increase the Power of Conditional Randomization Tests
Shalev Shaer
Yaniv Romano
CML
40
2
0
03 Jul 2022
Pruning-aware Sparse Regularization for Network Pruning
Pruning-aware Sparse Regularization for Network Pruning
Nanfei Jiang
Xu Zhao
Chaoyang Zhao
Yongqi An
Ming Tang
Jinqiao Wang
3DPC
29
12
0
18 Jan 2022
Enhanced Exploration in Neural Feature Selection for Deep Click-Through
  Rate Prediction Models via Ensemble of Gating Layers
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers
L. Guan
Xia Xiao
Ming-yue Chen
Youlong Cheng
32
1
0
07 Dec 2021
Support Recovery with Stochastic Gates: Theory and Application for
  Linear Models
Support Recovery with Stochastic Gates: Theory and Application for Linear Models
Soham Jana
Henry Li
Yutaro Yamada
Ofir Lindenbaum
28
5
0
29 Oct 2021
Learning to Ask Medical Questions using Reinforcement Learning
Learning to Ask Medical Questions using Reinforcement Learning
Uri Shaham
Tom Zahavy
C. Caraballo
S. Mahajan
D. Massey
H. Krumholz
OOD
24
1
0
31 Mar 2020
FsNet: Feature Selection Network on High-dimensional Biological Data
FsNet: Feature Selection Network on High-dimensional Biological Data
Dinesh Singh
Héctor Climente-González
Mathis Petrovich
Eiryo Kawakami
M. Yamada
31
46
0
23 Jan 2020
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDL
CML
OOD
121
1,233
0
02 Jun 2016
1