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. 1706.06859
  4. Cited By
Analysis of dropout learning regarded as ensemble learning

Analysis of dropout learning regarded as ensemble learning

20 June 2017
K. Hara
Daisuke Saitoh
Hayaru Shouno
ArXiv (abs)PDFHTML

Papers citing "Analysis of dropout learning regarded as ensemble learning"

15 / 15 papers shown
Title
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system
P. Teutsch
Philipp Pfeffer
Mohammad Sharifi Ghazijahani
Christian Cierpka
J. Schumacher
Patrick Mäder
AI4CE
65
0
0
06 Jan 2025
Continual learning with the neural tangent ensemble
Continual learning with the neural tangent ensemble
Ari S. Benjamin
Christian Pehle
Kyle Daruwalla
UQCV
141
1
0
30 Aug 2024
Why Neural Networks Work
Why Neural Networks Work
Sayan Mukherjee
Bernardo A. Huberman
39
2
0
26 Nov 2022
Transformers Can Do Bayesian Inference
Transformers Can Do Bayesian Inference
Samuel G. Müller
Noah Hollmann
Sebastian Pineda Arango
Josif Grabocka
Frank Hutter
BDLUQCV
113
170
0
20 Dec 2021
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep
  Reinforcement Learning
MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning
Qiang He
Yuxun Qu
Chen Gong
Xinwen Hou
OffRL
85
10
0
22 Sep 2021
Ensemble-based Uncertainty Quantification: Bayesian versus Credal
  Inference
Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
M. Shaker
Eyke Hüllermeier
UDUQCVPERBDL
330
20
0
21 Jul 2021
Exploring Dropout Discriminator for Domain Adaptation
Exploring Dropout Discriminator for Domain Adaptation
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
OOD
51
6
0
09 Jul 2021
General Multi-label Image Classification with Transformers
General Multi-label Image Classification with Transformers
Jack Lanchantin
Tianlu Wang
Vicente Ordonez
Yanjun Qi
ViT
80
268
0
27 Nov 2020
MLOD: A multi-view 3D object detection based on robust feature fusion
  method
MLOD: A multi-view 3D object detection based on robust feature fusion method
Jian Deng
Krzysztof Czarnecki
3DPC
43
37
0
09 Sep 2019
Curriculum based Dropout Discriminator for Domain Adaptation
Curriculum based Dropout Discriminator for Domain Adaptation
V. Kurmi
Vipul Bajaj
K. Venkatesh
Vinay P. Namboodiri
OOD
99
14
0
24 Jul 2019
Neural Message Passing for Multi-Label Classification
Neural Message Passing for Multi-Label Classification
Jack Lanchantin
Arshdeep Sekhon
Yanjun Qi
64
38
0
17 Apr 2019
Message-Dropout: An Efficient Training Method for Multi-Agent Deep
  Reinforcement Learning
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
Woojun Kim
Myungsik Cho
Y. Sung
49
55
0
18 Feb 2019
Neural Persistence: A Complexity Measure for Deep Neural Networks Using
  Algebraic Topology
Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology
Bastian Rieck
Matteo Togninalli
Christian Bock
Michael Moor
Max Horn
Thomas Gumbsch
Karsten Borgwardt
93
111
0
23 Dec 2018
Efficient Contextualized Representation: Language Model Pruning for
  Sequence Labeling
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling
Liyuan Liu
Xiang Ren
Jingbo Shang
Jian-wei Peng
Jiawei Han
90
44
0
20 Apr 2018
A trans-disciplinary review of deep learning research for water
  resources scientists
A trans-disciplinary review of deep learning research for water resources scientists
Chaopeng Shen
AI4CE
228
702
0
06 Dec 2017
1