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Guided Dropout

Guided Dropout

10 December 2018
Rohit Keshari
Richa Singh
Mayank Vatsa
    BDL
ArXivPDFHTML

Papers citing "Guided Dropout"

7 / 7 papers shown
Title
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routing
Sagi Shaier
Francisco Pereira
K. Wense
Lawrence E Hunter
Matt Jones
MoE
46
0
0
10 Oct 2024
Codebook Features: Sparse and Discrete Interpretability for Neural
  Networks
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
Alex Tamkin
Mohammad Taufeeque
Noah D. Goodman
30
27
0
26 Oct 2023
Information Geometry of Dropout Training
Information Geometry of Dropout Training
Masanari Kimura
H. Hino
9
2
0
22 Jun 2022
Feature Mining: A Novel Training Strategy for Convolutional Neural
  Network
Feature Mining: A Novel Training Strategy for Convolutional Neural Network
Tianshu Xie
Xuan Cheng
Xiaomin Wang
Minghui Liu
Jiali Deng
Ming Liu
31
5
0
18 Jul 2021
Deep Neural Networks Based Weight Approximation and Computation Reuse
  for 2-D Image Classification
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification
M. Tolba
H. Tesfai
H. Saleh
B. Mohammad
Mahmoud Al-Qutayri
16
4
0
28 Apr 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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