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Deep Dive into Neural Network Explanations with Integrated Gradients

Deep Dive into Neural Network Explanations with Integrated Gradients

A Practitioner’s Guide
Go to the profile of Rick Shih
Rick Shih
Overfitting and Conceptual Soundness in Neural Network Models

Overfitting and Conceptual Soundness in Neural Network Models

How feature usage informs our understanding of overfitting in deep networks
Go to the profile of Klas Leino
Klas Leino
Machine Learning Explainability and Robustness: Connected at the Hip

Machine Learning Explainability and Robustness: Connected at the Hip

Last week, we presented a tutorial at KDD 2021 on explainability and robustness of deep neural networks and the surprising relationships…
Go to the profile of Anupam Datta
Anupam Datta
Peer deep into neural networks with TruLens

Peer deep into neural networks with TruLens

What is TruLens neural network explainability?
Go to the profile of Anupam Datta
Anupam Datta
A Hands-on Introduction to Explaining Neural Networks with TruLens

A Hands-on Introduction to Explaining Neural Networks with TruLens

Transparency and Attribution Methods
Go to the profile of Klas Leino
Klas Leino
TruLens is coming!

TruLens is coming!

We are excited to reveal more about TruLens soon. Watch this space.
Go to the profile of Barbara Lewis
Barbara Lewis
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