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2024 ICML ICML 2024

Improving Interpretation Faithfulness for Vision Transformers

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

Topics

Artificial Intelligence > Core AI > Interpretability Machine Learning > Optimization & Theory > Optimization Deep Learning > Architectures > Transformers

Keywords

vision transformer explainability adversarial attack self-attention vector denoised diffusion smoothing faithful vits
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