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Deep Learning-Based Out-of-distribution Source Code Data Identification:
  How Far Have We Gone?

Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?

9 April 2024
Van Nguyen
Xingliang Yuan
Tingmin Wu
Surya Nepal
M. Grobler
Carsten Rudolph
ArXivPDFHTML

Papers citing "Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone?"

4 / 4 papers shown
Title
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns
  Through Information Theory and Contrastive Learning
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive Learning
Van Nguyen
Trung Le
C. Tantithamthavorn
Michael Fu
John C. Grundy
Hung Nguyen
S. Çamtepe
Paul Quirk
Dinh Q. Phung
41
4
0
20 Sep 2022
Have We Learned to Explain?: How Interpretability Methods Can Learn to
  Encode Predictions in their Interpretations
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
N. Jethani
Mukund Sudarshan
Yindalon Aphinyanagphongs
Rajesh Ranganath
FAtt
82
70
0
02 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
233
2,545
0
25 Jan 2016
1