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Abstract: Visual explanations are logical arguments based on visual features that justify the predictions made by neural networks.
Aug 1, 2020 · Abstract:Visual explanations are logical arguments based on visual features that justify the predictions made by neural networks.
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In this work, we formalize the structure of contrastive visual explanations for neural networks. We define contrast based on neural networks and propose a ...
This paper formalizes the structure of contrastive visual explanations for neural networks and proposes a methodology to extract defined contrasts and uses ...
In this paper, we use the existence of notion of classes to provide contrastive explanations without the need for changes to the input images. 3. CONTRASTIVE ...
Contrastive visual explanations – answers to `Why P, rather than Q?' Questions. Why Spoonbill, rather than Flamingo? Spoonbills have shorter legs and necks.
[PDF] Towards Contrastive Explanations with Pertinent Negatives
proceedings.neurips.cc › paper › 7...
In this paper we propose a novel method that provides contrastive explanations justifying the classification of an input by a black box classifier such as a ...
A small part of the tail of a '2' is used to explain the classifier without a CAE, while the explanation using a CAE has a much thicker tail and larger part of ...
Sep 9, 2024 · Visual explanations are logical arguments based on visual features that justify the predictions made by neural networks.
24 hours ago · ... neural networks. This paper proposes novel algorithms to compute the so-called contrastive explanations for ML models with a large number of ...