Papers by Adam Wojciechowski

1 papers
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach (2024.findings-emnlp)

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Challenge: Existing explanation methods for image classification struggle to provide faithful and plausible explanations for predictions.
Approach: They propose a natural language explanation method that can be applied to any CNN-based classifier without altering its training process or affecting predictive performance.
Outcome: The proposed method can be applied to any CNN-based classifier without altering its training process or affecting predictive performance.

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