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Contrastive Explanations in Neural Networks

Contrastive Explanations in Neural Networks

1 August 2020
Mohit Prabhushankar
Gukyeong Kwon
Dogancan Temel
Ghassan AlRegib
    FAtt
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Papers citing "Contrastive Explanations in Neural Networks"

11 / 11 papers shown
Title
Hierarchical and Multimodal Data for Daily Activity Understanding
Hierarchical and Multimodal Data for Daily Activity Understanding
Ghazal Kaviani
Yavuz Yarici
Seulgi Kim
Mohit Prabhushankar
Ghassan AlRegib
Mashhour Solh
Ameya Patil
59
0
0
24 Apr 2025
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
38
9
0
16 Feb 2023
Stochastic Surprisal: An inferential measurement of Free Energy in
  Neural Networks
Stochastic Surprisal: An inferential measurement of Free Energy in Neural Networks
Mohit Prabhushankar
Ghassan Al-Regib
25
3
0
11 Feb 2023
Explainable Machine Learning for Hydrocarbon Prospect Risking
Explainable Machine Learning for Hydrocarbon Prospect Risking
Ahmad Mustafa
Ghassan AlRegib
33
2
0
15 Dec 2022
Attribution-based XAI Methods in Computer Vision: A Review
Attribution-based XAI Methods in Computer Vision: A Review
Kumar Abhishek
Deeksha Kamath
35
18
0
27 Nov 2022
Learning Visual Explanations for DCNN-Based Image Classifiers Using an
  Attention Mechanism
Learning Visual Explanations for DCNN-Based Image Classifiers Using an Attention Mechanism
Ioanna Gkartzonika
Nikolaos Gkalelis
Vasileios Mezaris
39
9
0
22 Sep 2022
Gradient-Based Adversarial and Out-of-Distribution Detection
Gradient-Based Adversarial and Out-of-Distribution Detection
Jinsol Lee
Mohit Prabhushankar
Ghassan AlRegib
UQCV
40
13
0
16 Jun 2022
Towards Relatable Explainable AI with the Perceptual Process
Towards Relatable Explainable AI with the Perceptual Process
Wencan Zhang
Brian Y. Lim
AAML
XAI
32
62
0
28 Dec 2021
Contrastive Reasoning in Neural Networks
Contrastive Reasoning in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
25
10
0
23 Mar 2021
Extracting Causal Visual Features for Limited label Classification
Extracting Causal Visual Features for Limited label Classification
Mohit Prabhushankar
Ghassan AlRegib
CML
27
21
0
23 Mar 2021
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