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Found 6 papers, 0 papers with code
Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling
We show that such noisy attribution can be reduced by aggregating attributions from the multiple paths instead of using a single path.
On the Relationship Between Adversarial Robustness and Decision Region in Deep Neural Network
In general, Deep Neural Networks (DNNs) are evaluated by the generalization performance measured on unseen data excluded from the training phase.
An Unsupervised Way to Understand Artifact Generating Internal Units in Generative Neural Networks
Despite significant improvements on the image generation performance of Generative Adversarial Networks (GANs), generations with low visual fidelity still have been observed.
Empirical Study of the Decision Region and Robustness in Deep Neural Networks
In general, the Deep Neural Networks (DNNs) is evaluated by the generalization performance measured on the unseen data excluded from the training phase.
Automatic Correction of Internal Units in Generative Neural Networks
Generative Adversarial Networks (GANs) have shown satisfactory performance in synthetic image generation by devising complex network structure and adversarial training scheme.
An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks
Despite of recent advances in generative networks, identifying the image generation mechanism still remains challenging.
