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Contrastive Reasoning in Neural Networks

Contrastive Reasoning in Neural Networks

23 March 2021
Mohit Prabhushankar
Ghassan AlRegib
ArXivPDFHTML

Papers citing "Contrastive Reasoning in Neural Networks"

9 / 9 papers shown
Title
VOICE: Variance of Induced Contrastive Explanations to quantify
  Uncertainty in Neural Network Interpretability
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
Mohit Prabhushankar
Ghassan AlRegib
FAtt
UQCV
43
2
0
01 Jun 2024
Counterfactual Gradients-based Quantification of Prediction Trust in
  Neural Networks
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
UQCV
34
0
0
22 May 2024
Clinically Labeled Contrastive Learning for OCT Biomarker Classification
Clinically Labeled Contrastive Learning for OCT Biomarker Classification
Kiran Kokilepersaud
Stephanie Trejo Corona
Mohit Prabhushankar
Ghassan Al-Regib
C. Wykoff
31
13
0
24 May 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
33
9
0
16 Feb 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
26
9
0
12 Jan 2023
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics
Mohit Prabhushankar
Kiran Kokilepersaud
Yash-yee Logan
Stephanie Trejo Corona
Ghassan AlRegib
C. Wykoff
63
30
0
22 Sep 2022
Introspective Learning : A Two-Stage Approach for Inference in Neural
  Networks
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
53
19
0
17 Sep 2022
Explanatory Paradigms in Neural Networks
Explanatory Paradigms in Neural Networks
Ghassan AlRegib
Mohit Prabhushankar
FAtt
XAI
19
12
0
24 Feb 2022
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods
  for Deep Neural Networks
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks
Ian E. Nielsen
Dimah Dera
Ghulam Rasool
N. Bouaynaya
R. Ramachandran
FAtt
32
79
0
23 Jul 2021
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