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interpretation

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hierarchical-dnn-interpretations

csinva / hierarchical-dnn-interpretations

Star 107

Using / reproducing ACD from the paper "Hierarchical interpretations for neural network predictions" 🧠 (ICLR 2019)

python data-science machine-learning statistics deep-neural-networks ai deep-learning neural-network jupyter-notebook ml pytorch artificial-intelligence convolutional-neural-networks acd interpretation iclr interpretability feature-importance explainable-ai explainability
  • Updated Aug 25, 2021
  • Jupyter Notebook
transformation-importance

csinva / transformation-importance

Star 8

Using / reproducing TRIM from the paper "Transformation Importance with Applications to Cosmology" 🌌 (ICLR Workshop 2020)

data-science machine-learning deep-neural-networks ai deep-learning neural-network attribution ml pytorch artificial-intelligence transform feature-engineering transformation frequency-domain interpretation interpretability wavelet-analysis feature-importance explainable-ai explainability
  • Updated Dec 16, 2020
  • Jupyter Notebook

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