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Effective Black Box Testing of Sentiment Analysis Classification
  Networks

Effective Black Box Testing of Sentiment Analysis Classification Networks

30 July 2024
Parsa Karbasizadeh
Fathiyeh Faghih
Pouria Golshanrad
ArXivPDFHTML

Papers citing "Effective Black Box Testing of Sentiment Analysis Classification Networks"

5 / 5 papers shown
Title
Training Compute-Optimal Large Language Models
Training Compute-Optimal Large Language Models
Jordan Hoffmann
Sebastian Borgeaud
A. Mensch
Elena Buchatskaya
Trevor Cai
...
Karen Simonyan
Erich Elsen
Jack W. Rae
Oriol Vinyals
Laurent Sifre
AI4TS
197
1,946
0
29 Mar 2022
LaMDA: Language Models for Dialog Applications
LaMDA: Language Models for Dialog Applications
R. Thoppilan
Daniel De Freitas
Jamie Hall
Noam M. Shazeer
Apoorv Kulshreshtha
...
Blaise Aguera-Arcas
Claire Cui
M. Croak
Ed H. Chi
Quoc Le
ALM
129
1,593
0
20 Jan 2022
Black-Box Testing of Deep Neural Networks Through Test Case Diversity
Black-Box Testing of Deep Neural Networks Through Test Case Diversity
Zohreh Aghababaeyan
Manel Abdellatif
Lionel C. Briand
Ramesh S
M. Bagherzadeh
AAML
60
45
0
20 Dec 2021
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems
Lei Ma
Felix Juefei Xu
Fuyuan Zhang
Jiyuan Sun
Minhui Xue
...
Ting Su
Li Li
Yang Liu
Jianjun Zhao
Yadong Wang
ELM
67
621
0
20 Mar 2018
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural
  Networks for Real-Time Object Detection for Autonomous Driving
SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving
Bichen Wu
Alvin Wan
F. Iandola
Peter H. Jin
Kurt Keutzer
87
513
0
04 Dec 2016
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