A survey on deep learning for software engineering
In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …
and an improved model training method to break the bottleneck of neural network …
[PDF][PDF] A Survey on Deep Learning for Software Engineering
Y YANG, XIN XIA, D LO, J GRUNDY - 2022 - raw.githubusercontent.com
In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …
and an improved model training method to break the bottleneck of neural network …
On the Replicability and Reproducibility of Deep Learning in Software Engineering
C Liu, C Gao, X Xia, D Lo, J Grundy, X Yang - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Deep learning (DL) techniques have gained significant popularity among software
engineering (SE) researchers in recent years. This is because they can often solve many SE …
engineering (SE) researchers in recent years. This is because they can often solve many SE …
A survey on deep learning for software engineering
Y YANG, X XIA, D LO - ACM Computing Surveys, 2022 - ink.library.smu.edu.sg
Abstract In 2006, Geoffrey Hinton proposed the concept of training" Deep Neural Networks
(DNNs)" and an improved model training method to break the bottleneck of neural network …
(DNNs)" and an improved model training method to break the bottleneck of neural network …
[PDF][PDF] On the Reproducibility and Replicability of Deep Learning in Software Engineering
C LIU, C GAO, XIN XIA, D LO, J GRUNDY, X YANG - 2021 - soarsmu.github.io
Objective: Although many DL studies have reported substantial advantages over other state-
of-the-art models on effectiveness, they often ignore two factors:(1) reproducibility-whether …
of-the-art models on effectiveness, they often ignore two factors:(1) reproducibility-whether …
On the Reproducibility and Replicability of Deep Learning in Software Engineering
C Liu, C Gao, X Xia, D Lo, J Grundy… - ACM Transactions on …, 2021 - dl.acm.org
Context: Deep learning (DL) techniques have gained significant popularity among software
engineering (SE) researchers in recent years. This is because they can often solve many SE …
engineering (SE) researchers in recent years. This is because they can often solve many SE …
[PDF][PDF] A Survey on Deep Learning for Software Engineering
Y YANG, XIN XIA, D LO, J GRUNDY - 2022 - nzjohng.github.io
In 2006, Geoffrey Hinton proposed the concept of training “Deep Neural Networks (DNNs)”
and an improved model training method to break the bottleneck of neural network …
and an improved model training method to break the bottleneck of neural network …
A survey on deep learning for software engineering
Y Yang, X Xia, D Lo, J Grundy - ACM Computing Surveys, 2022 - research.monash.edu
Abstract In 2006, Geoffrey Hinton proposed the concept of training" Deep Neural Networks
(DNNs)" and an improved model training method to break the bottleneck of neural network …
(DNNs)" and an improved model training method to break the bottleneck of neural network …
[PDF][PDF] On the Reproducibility and Replicability of Deep Learning in Software Engineering
C LIU, C GAO, XIN XIA, D LO, J GRUNDY, X YANG - 2021 - xin-xia.github.io
Objective: Although many DL studies have reported substantial advantages over other state-
of-the-art models on effectiveness, they often ignore two factors:(1) reproducibility-whether …
of-the-art models on effectiveness, they often ignore two factors:(1) reproducibility-whether …
A Survey on Deep Learning for Software Engineering
Y Yang, X Xia, D Lo, J Grundy - arXiv preprint arXiv:2011.14597, 2020 - arxiv.org
In 2006, Geoffrey Hinton proposed the concept of training''Deep Neural Networks
(DNNs)''and an improved model training method to break the bottleneck of neural network …
(DNNs)''and an improved model training method to break the bottleneck of neural network …