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Learning Sparse Networks Using Targeted Dropout

Learning Sparse Networks Using Targeted Dropout

31 May 2019
Aidan N. Gomez
Ivan Zhang
Siddhartha Rao Kamalakara
Divyam Madaan
Kevin Swersky
Y. Gal
Geoffrey E. Hinton
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Papers citing "Learning Sparse Networks Using Targeted Dropout"

18 / 18 papers shown
Title
Regularization can make diffusion models more efficient
Regularization can make diffusion models more efficient
Mahsa Taheri
Johannes Lederer
98
0
0
13 Feb 2025
AdaFSNet: Time Series Classification Based on Convolutional Network with
  a Adaptive and Effective Kernel Size Configuration
AdaFSNet: Time Series Classification Based on Convolutional Network with a Adaptive and Effective Kernel Size Configuration
Haoxiao Wang
Bo Peng
Jianhua Zhang
Xu Cheng
AI4TS
39
1
0
28 Apr 2024
Learning Prescriptive ReLU Networks
Learning Prescriptive ReLU Networks
Wei-Ju Sun
Asterios Tsiourvas
21
2
0
01 Jun 2023
Dropout Reduces Underfitting
Dropout Reduces Underfitting
Zhuang Liu
Zhi-Qin John Xu
Joseph Jin
Zhiqiang Shen
Trevor Darrell
37
36
0
02 Mar 2023
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
169
150
0
20 Sep 2022
A Survey on Dropout Methods and Experimental Verification in
  Recommendation
A Survey on Dropout Methods and Experimental Verification in Recommendation
Yongqian Li
Weizhi Ma
C. L. Philip Chen
M. Zhang
Yiqun Liu
Shaoping Ma
Yue Yang
33
9
0
05 Apr 2022
Layer-wise Model Pruning based on Mutual Information
Layer-wise Model Pruning based on Mutual Information
Chun Fan
Jiwei Li
Xiang Ao
Fei Wu
Yuxian Meng
Xiaofei Sun
46
19
0
28 Aug 2021
Differentiable Subset Pruning of Transformer Heads
Differentiable Subset Pruning of Transformer Heads
Jiaoda Li
Ryan Cotterell
Mrinmaya Sachan
37
53
0
10 Aug 2021
Boosting Co-teaching with Compression Regularization for Label Noise
Boosting Co-teaching with Compression Regularization for Label Noise
Yingyi Chen
Xin Shen
S. Hu
Johan A. K. Suykens
NoLa
37
45
0
28 Apr 2021
SeReNe: Sensitivity based Regularization of Neurons for Structured
  Sparsity in Neural Networks
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
Enzo Tartaglione
Andrea Bragagnolo
Francesco Odierna
A. Fiandrotti
Marco Grangetto
38
18
0
07 Feb 2021
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural
  networks
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
Enzo Tartaglione
Andrea Bragagnolo
A. Fiandrotti
Marco Grangetto
ODL
UQCV
15
34
0
16 Nov 2020
Pruning Convolutional Filters using Batch Bridgeout
Pruning Convolutional Filters using Batch Bridgeout
Najeeb Khan
Ian Stavness
19
3
0
23 Sep 2020
Maximum Roaming Multi-Task Learning
Maximum Roaming Multi-Task Learning
Lucas Pascal
Pietro Michiardi
Xavier Bost
B. Huet
Maria A. Zuluaga
31
31
0
17 Jun 2020
A Framework for Neural Network Pruning Using Gibbs Distributions
A Framework for Neural Network Pruning Using Gibbs Distributions
Alex Labach
S. Valaee
9
5
0
08 Jun 2020
Gradient Monitored Reinforcement Learning
Gradient Monitored Reinforcement Learning
Mohammed Sharafath Abdul Hameed
Gavneet Singh Chadha
Andreas Schwung
S. Ding
28
10
0
25 May 2020
A multimodal deep learning approach for named entity recognition from
  social media
A multimodal deep learning approach for named entity recognition from social media
M. Asgari-Chenaghlu
M. Feizi-Derakhshi
Leili Farzinvash
M. Balafar
C. Motamed
19
28
0
19 Jan 2020
Relational Reasoning Network (RRN) for Anatomical Landmarking
Relational Reasoning Network (RRN) for Anatomical Landmarking
N. Torosdagli
Syed Muhammad Anwar
P. Verma
D. Liberton
Janice S. Lee
Wade W. Han
Ulas Bagci
27
3
0
08 Apr 2019
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
7,636
0
03 Jul 2012
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