KDD 2026 - Spectral Integrated Gradients for Coarse-to-Fine Feature Attribution
Integrated Gradients Algorithm
Gradient-based Analysis of NLP Models is Manipulable
Gradient with respect to input in PyTorch (FGSM attack + Integrated Gradients)
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Last Updated: October 20, 2026
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Summary
Modern AI models, especially deep neural networks, have achieved remarkable success across vision, language, and ... Course Free: adataodyssey.com/xai-for-cv/ Paid: adataodyssey.com/courses/xai-for-cv/ Sorry everyone, I didn't have the interest to take this apart completely. Uploading for completeness of the Keras Code Examples. Ever wondered why AI attention maps aren't true explanations? In this video, I break down ... Introduction 0:20 Motivations 1:57 Axioms 3:27 Gradients. inputs 4:54 Gradients inputs fails sensitivity 5:50 ... of a free XAI course for computer vision that covers Part of the SAiDL Reading Sessions Presenter: Shashank Madhusudan We study the problem of attributing the prediction of a ... Axiomatic Attribution for Deep Networks Course Materials: github.com/maziarraissi/Applied-Deep-Learning. Soyeon Kim, Seongwoo Lim, Kyowoon Lee, Jaesik Choi. ... be dominated by the facade model this fool's popular saliency methods such as gradients smooth grad and In this video, I describe what the