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Feature Attribution | Stanford CS224U Natural Language Understanding | Spring 2021
Vision ML Model Explainability with Integrated Gradients and XRAI | Kyle Nathan Naranjo
Using Integrated Gradients to explain Linguistic Acceptability learnt by BERT
Gradient with respect to input in PyTorch (FGSM attack + Integrated Gradients)
Investigating Saturation Effects of Integrated Gradients
Gradient-based Analysis of NLP Models is Manipulable
Tensors & Autograd: How PyTorch Actually Computes Gradients
Synthetic Gradients Explained
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Last Updated: August 23, 2026
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