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Revisiting Implicit Models: Sparsity Trade-offs Capability in
  Weight-tied Model for Vision Tasks

Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks

16 July 2023
Haobo Song
Soumajit Majumder
Tao R. Lin
    VLM
ArXivPDFHTML

Papers citing "Revisiting Implicit Models: Sparsity Trade-offs Capability in Weight-tied Model for Vision Tasks"

4 / 4 papers shown
Title
On Training Implicit Models
On Training Implicit Models
Zhengyang Geng
Xinyu Zhang
Shaojie Bai
Yisen Wang
Zhouchen Lin
56
69
0
09 Nov 2021
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for
  Network Compression
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
Yawei Li
Shuhang Gu
Christoph Mayer
Luc Van Gool
Radu Timofte
120
186
0
19 Mar 2020
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
247
9,042
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
243
7,597
0
03 Jul 2012
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