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Recent items include:

  • Gradient Sensitivity Is Directional: A Small GPT-2 Intervention Experiment
  • CBAM Paper Walkthrough: The Double-Attention Mechanism
  • When a Genetic Algorithm Tried to Out-Think Gradient Attribution

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medium.com /1 month ago

Gradient Sensitivity Is Directional: A Small GPT-2 Intervention Experiment

SummaryContinue reading on Medium »

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towardsdatascience.com /1 month ago

CBAM Paper Walkthrough: The Double-Attention Mechanism

Understanding and implementing CBAM (Convolutional Block Attention Module) from scratch with PyTorch The post CBAM Paper Walkthrough: The Double-Attention Mechanism appeared first...

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medium.com /1 month ago

When a Genetic Algorithm Tried to Out-Think Gradient Attribution

Building GA-SHAP: explaining an Alzheimer’s MRI classifier by evolving spatial masks — and getting beaten by a much simpler baselineContinue reading on Medium »

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journals.plos.org /3 weeks ago

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data

by Robert Frank, Michael Widrich, Rahmad Akbar, Günter Klambauer, Geir Kjetil Sandve, Philippe A. Robert, Victor Greiff Generative machine learning models offer a powerful framewo...

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journals.plos.org /1 week ago

Understanding cell fate decisions with temporal attention

by Florian Bürger, Martim Dias Gomes, Adrián E. Granada, Noémie Moreau, Katarzyna Bozek Understanding non-genetic determinants of cell fate is critical for developing and improvin...

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levelup.gitconnected.com /1 month ago

Graph Neural Networks: GCN, MPNN, and GAT, Explained Simply

A visual guide to how graph neural networks work under the hoodContinue reading on Level Up Coding »

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journals.plos.org

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medium.com

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towardsdatascience.com

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