2 papers
cs.CV2026
Causal Attribution via Activation Patching
Amirmohammad Izadi, Mohammadali Banayeeanzade, Alireza Mirrokni +4
Attribution methods for Vision Transformers (ViTs) aim to identify image regions that influence model predictions, but producing faithful and well-localized attributions remains ch…
cs.CV2024
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
Faridoun Mehri, Mahdieh Soleymani Baghshah, Mohammad Taher Pilehvar
Why do gradient-based explanations struggle with Transformers, and how can we improve them? We identify gradient flow imbalances in Transformers that violate FullGrad-completeness,…