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2002.02997
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DropCluster: A structured dropout for convolutional networks
7 February 2020
Liyang Chen
P. Gautier
Sergul Aydore
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Papers citing
"DropCluster: A structured dropout for convolutional networks"
8 / 8 papers shown
Efficient Sparse Training with Structured Dropout
Andy Lo
BDL
258
0
0
02 Nov 2024
Improving the Precision of CNNs for Magnetic Resonance Spectral Modeling
John LaMaster
Dhritiman Das
Florian Kofler
Jason Crane
Yan Li
Tobias Lasser
Bjoern Menze
112
0
0
10 Sep 2024
R-Block: Regularized Block of Dropout for convolutional networks
Liqi Wang
Qiyang Hu
143
0
0
27 Jul 2023
Information Geometry of Dropout Training
Masanari Kimura
H. Hino
181
3
0
22 Jun 2022
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks
Zhilu Zhang
Vianne R. Gao
M. Sabuncu
UQCV
294
7
0
09 Jun 2021
Partial Graph Reasoning for Neural Network Regularization
Tiange Xiang
Chaoyi Zhang
Yang Song
Siqi Liu
Hongliang Yuan
Weidong (Tom) Cai
OOD
273
2
0
03 Jun 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Jiaao Chen
Dinghan Shen
Weizhu Chen
Diyi Yang
BDL
248
52
0
31 May 2021
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation
Omer Achrack
Raizy Kellerman
Ouriel Barzilay
UQCV
BDL
281
10
0
05 Oct 2020
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