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Novelty Detection Through Model-Based Characterization of Neural
  Networks

Novelty Detection Through Model-Based Characterization of Neural Networks

13 August 2020
Gukyeong Kwon
Mohit Prabhushankar
Dogancan Temel
Ghassan AlRegib
ArXivPDFHTML

Papers citing "Novelty Detection Through Model-Based Characterization of Neural Networks"

5 / 5 papers shown
Title
Example Forgetting: A Novel Approach to Explain and Interpret Deep
  Neural Networks in Seismic Interpretation
Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation
Ryan Benkert
Oluwaseun Joseph Aribido
Ghassan AlRegib
19
8
0
24 Feb 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Gaussian Switch Sampling: A Second Order Approach to Active Learning
Ryan Benkert
Mohit Prabhushankar
Ghassan Al-Regib
Armin Pacharmi
E. Corona
AAML
26
9
0
16 Feb 2023
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing
  Behavior
Learning Trajectory-Conditioned Relations to Predict Pedestrian Crossing Behavior
Chenchao Zhou
Ghassan AlRegib
Armin Parchami
Kunjan Singh
37
2
0
14 Jan 2023
Forgetful Active Learning with Switch Events: Efficient Sampling for
  Out-of-Distribution Data
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
OODD
OOD
23
9
0
12 Jan 2023
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
1