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RBT4DNN: Requirements-based Testing of Neural Networks
v1v2 (latest)

RBT4DNN: Requirements-based Testing of Neural Networks

3 April 2025
Nusrat Jahan Mozumder
Felipe Toledo
Swaroopa Dola
Matthew B. Dwyer
    AAML
ArXiv (abs)PDFHTML

Papers citing "RBT4DNN: Requirements-based Testing of Neural Networks"

25 / 25 papers shown
Title
Towards Unsupervised Object Detection From LiDAR Point Clouds
Towards Unsupervised Object Detection From LiDAR Point Clouds
Lunjun Zhang
A. Yang
Yuwen Xiong
Sergio Casas
Bin Yang
Mengye Ren
R. Urtasun
3DPC
119
21
0
03 Nov 2023
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing
Dong Huang
Qi Bu
Yichao Fu
Yuhao Qing
Junjie Chen
Heming Cui
AAML
81
2
0
20 Jul 2023
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion
  Transformer
Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
Hao Shao
Letian Wang
Ruobing Chen
Hongsheng Li
Y. Liu
112
207
0
28 Jul 2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving:
  A Simple yet Strong Baseline
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Peng Wu
Xiaosong Jia
Li Chen
Junchi Yan
Hongyang Li
Yu Qiao
83
203
0
16 Jun 2022
High-Resolution Image Synthesis with Latent Diffusion Models
High-Resolution Image Synthesis with Latent Diffusion Models
Robin Rombach
A. Blattmann
Dominik Lorenz
Patrick Esser
Bjorn Ommer
3DV
502
15,788
0
20 Dec 2021
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
Arnav V. Malawade
S. Yu
Brandon Hsu
Harsimrat Kaeley
Anurag Karra
Mohammad Abdullah Al Faruque
GNN
65
29
0
02 Sep 2021
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems
  through Illumination Search
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search
Tahereh Zohdinasab
Vincenzo Riccio
Alessio Gambi
Paolo Tonella
79
82
0
05 Jul 2021
VOLO: Vision Outlooker for Visual Recognition
VOLO: Vision Outlooker for Visual Recognition
Li-xin Yuan
Qibin Hou
Zihang Jiang
Jiashi Feng
Shuicheng Yan
ViT
116
327
0
24 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
502
10,526
0
17 Jun 2021
Distribution-Aware Testing of Neural Networks Using Generative Models
Distribution-Aware Testing of Neural Networks Using Generative Models
Swaroopa Dola
Matthew B. Dwyer
M. Soffa
83
53
0
26 Feb 2021
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them
  on Images
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
R. Child
BDLVLM
186
352
0
20 Nov 2020
Medical Image Segmentation Using Deep Learning: A Survey
Medical Image Segmentation Using Deep Learning: A Survey
Risheng Wang
Tao Lei
Xiaogang Du
Yong Wan
Hongying Meng
Asoke K. Nandi
SSegOOD
82
571
0
28 Sep 2020
NVAE: A Deep Hierarchical Variational Autoencoder
NVAE: A Deep Hierarchical Variational Autoencoder
Arash Vahdat
Jan Kautz
BDL
85
915
0
08 Jul 2020
Visual Transformers: Token-based Image Representation and Processing for
  Computer Vision
Visual Transformers: Token-based Image Representation and Processing for Computer Vision
Bichen Wu
Chenfeng Xu
Xiaoliang Dai
Alvin Wan
Peizhao Zhang
Zhicheng Yan
Masayoshi Tomizuka
Joseph E. Gonzalez
Kurt Keutzer
Peter Vajda
ViT
101
562
0
05 Jun 2020
On Systematically Building a Controlled Natural Language for Functional
  Requirements
On Systematically Building a Controlled Natural Language for Functional Requirements
Alvaro Veizaga
Mauricio Alférez
Damiano Torre
M. Sabetzadeh
Lionel C. Briand
102
30
0
04 May 2020
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image Recognition
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
137
566
0
21 Nov 2019
Requirements Engineering for Machine Learning: Perspectives from Data
  Scientists
Requirements Engineering for Machine Learning: Perspectives from Data Scientists
Andreas Vogelsang
Markus Borg
58
163
0
13 Aug 2019
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
MaskGAN: Towards Diverse and Interactive Facial Image Manipulation
Cheng-Han Lee
Ziwei Liu
Lingyun Wu
Ping Luo
CVBM
171
1,076
0
27 Jul 2019
GOGGLES: Automatic Image Labeling with Affinity Coding
GOGGLES: Automatic Image Labeling with Affinity Coding
Nilaksh Das
Sanya Chaba
Renzhi Wu
Sakshi Gandhi
Duen Horng Chau
Xu Chu
VLM
52
33
0
11 Mar 2019
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
Arthur Gretton
EGVM
184
1,501
0
04 Jan 2018
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
81
1,032
0
28 Nov 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
178
7,377
0
27 Oct 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous
  Cars
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
AAML
75
1,361
0
28 Aug 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
109
1,371
0
18 May 2017
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
233
5,509
0
03 May 2015
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