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1511.05497
Cited By

Learning Neural Network Architectures using Backpropagation

v1v2 (latest)

Learning Neural Network Architectures using Backpropagation

17 November 2015

R. Venkatesh Babu

ArXiv (abs)PDF HTML

Papers citing "Learning Neural Network Architectures using Backpropagation"

17 / 17 papers shown

Soft Diamond Regularizers for Deep Learning

Soft Diamond Regularizers for Deep Learning

Olaoluwa Adigun

142

0

0

30 Dec 2024

Sparsified Model Zoo Twins: Investigating Populations of Sparsified
Neural Network Models

Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models

Konstantin Schurholt

246

5

0

26 Apr 2023

Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training

Learning a Consensus Sub-Network with Polarization Regularization and One Pass TrainingData mining and knowledge discovery (DMKD), 2023

Sean Moran

460

1

0

17 Feb 2023

Exact Backpropagation in Binary Weighted Networks with Group Weight
Transformations

Exact Backpropagation in Binary Weighted Networks with Group Weight Transformations

230

1

0

03 Jul 2021

Towards Self-Adaptive Metric Learning On the Fly

Towards Self-Adaptive Metric Learning On the FlyThe Web Conference (WWW), 2019

B. Thuraisingham

165

23

0

03 Apr 2021

DiffPrune: Neural Network Pruning with Deterministic Approximate Binary
Gates and $L_0$ Regularization

DiffPrune: Neural Network Pruning with Deterministic Approximate Binary Gates and

L_0

331

4

0

07 Dec 2020

Principal Component Networks: Parameter Reduction Early in Training

Principal Component Networks: Parameter Reduction Early in Training

Theodoros Rekatsinas

150

10

0

23 Jun 2020

Multi-Objective Pruning for CNNs Using Genetic Algorithm

Multi-Objective Pruning for CNNs Using Genetic AlgorithmInternational Conference on Artificial Neural Networks (ICANN), 2019

Chuanguang Yang

124

34

0

02 Jun 2019

Channel selection using Gumbel Softmax

Channel selection using Gumbel Softmax

Charles Herrmann

Richard Strong Bowen

117

3

0

11 Dec 2018

Learning sparse transformations through backpropagation

Learning sparse transformations through backpropagation

72

0

0

22 Oct 2018

Parameterless Stochastic Natural Gradient Method for Discrete
Optimization and its Application to Hyper-Parameter Optimization for Neural
Network

Parameterless Stochastic Natural Gradient Method for Discrete Optimization and its Application to Hyper-Parameter Optimization for Neural Network

Shinichi Shirakawa

193

2

0

18 Sep 2018

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Jonathan Frankle

990

3,927

0

09 Mar 2018

Dynamic Optimization of Neural Network Structures Using Probabilistic
Modeling

Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling

Shinichi Shirakawa

110

25

0

23 Jan 2018

Online Deep Learning: Learning Deep Neural Networks on the Fly

Online Deep Learning: Learning Deep Neural Networks on the Fly

208

341

0

10 Nov 2017

cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
Papers Survey

cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey

Hirokatsu Kataoka

...

Ryousuke Takasawa

Masataka Fuchida

Yudai Miyashita

Kazushige Okayasu

239

1

0

20 Jul 2017

Data-Driven Sparse Structure Selection for Deep Neural Networks

Data-Driven Sparse Structure Selection for Deep Neural Networks

367

603

0

05 Jul 2017

Training Sparse Neural Networks

Training Sparse Neural Networks

Akshayvarun Subramanya

R. Venkatesh Babu

272

217

0

21 Nov 2016

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