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12/13/2022
Examining the Difference Among Transformers and CNNs with Explanation Methods
We propose a methodology that systematically applies deep explanation al...
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03/28/2022
Cycle-Consistent Counterfactuals by Latent Transformations
CounterFactual (CF) visual explanations try to find images similar to th...
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09/13/2021
From Heatmaps to Structural Explanations of Image Classifiers
This paper summarizes our endeavors in the past few years in terms of ex...
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05/01/2021
Stochastic Block-ADMM for Training Deep Networks
In this paper, we propose Stochastic Block-ADMM as an approach to train ...
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12/31/2020
iGOS++: Integrated Gradient Optimized Saliency by Bilateral Perturbations
The black-box nature of the deep networks makes the explanation for "why...
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06/06/2020
Understanding Finite-State Representations of Recurrent Policy Networks
We introduce an approach for understanding finite-state machine (FSM) re...
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04/10/2020
Sleep Stage Scoring Using Joint Frequency-Temporal and Unsupervised Features
Patients with sleep disorders can better manage their lifestyle if they ...
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05/02/2019