Improving Interpretation Faithfulness for Vision Transformers

Improving Interpretation Faithfulness for Vision Transformers

29 November 2023

Lijie Hu

Ninghao Liu

Lichao Sun

Papers citing "Improving Interpretation Faithfulness for Vision Transformers"

7 / 7 papers shown

Title
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning L. Zhang Lijie Hu Di Wang LRM 95 0 0 17 Feb 2025
SATO: Stable Text-to-Motion Framework Wenshuo Chen Hongru Xiao Erhang Zhang Lijie Hu Lei Wang Mengyuan Liu Cheng Chen 43 5 0 02 May 2024
Towards Faithful Model Explanation in NLP: A Survey Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 109 107 0 22 Sep 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 212 418 0 16 May 2022
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 192 257 0 10 Nov 2021
Certified Patch Robustness via Smoothed Vision Transformers Hadi Salman Saachi Jain Eric Wong Aleksander Mkadry AAML 70 58 0 11 Oct 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 262 621 0 21 May 2021