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@sjtu-xai-lab

Lab for Interpretability and Theory-Driven Deep Learning

Lab for Interpretability and Theory-Driven Deep Learning, SJTU

Popular repositories

  1. aog aog Public

    PyTorch Implementation of the paper "Defining and Quantifying the Emergence of Sparse Concepts in DNNs" (CVPR 2023)

    Jupyter Notebook 8

  2. interaction-concept interaction-concept Public

    PyTorch implementation of the paper "Does a Neural Network Really Encode Symbolic Concept?" (ICML 2023)

    Jupyter Notebook 7

  3. sjtu-xai-lab.github.io sjtu-xai-lab.github.io Public

    Quanshi Zhang's website. Sjtu interpretable ml lab website.

    HTML 3 1

  4. generalizable-interaction generalizable-interaction Public

    PyTorch implementation of the paper "Defining and extracting generalizable interaction primitives from DNNs" (ICLR 2024)

    Jupyter Notebook 2 1

  5. transformation-complexity transformation-complexity Public

    PyTorch implementation of "Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs"

    Jupyter Notebook 1

  6. BNN-concepts BNN-concepts Public

    PyTorch implementation of the paper "Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts" (ICML 2023)

    Python 1

Repositories

Showing 8 of 8 repositories
  • generalizable-interaction Public

    PyTorch implementation of the paper "Defining and extracting generalizable interaction primitives from DNNs" (ICLR 2024)

    Jupyter Notebook 2 1 0 0 Updated Mar 12, 2024
  • interaction-sparsity Public

    [WIP] PyTorch implementation of the paper "Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in AI Models" (ICLR 2024)

    0 0 0 0 Updated Feb 26, 2024
  • BNN-concepts Public

    PyTorch implementation of the paper "Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts" (ICML 2023)

    Python 1 0 0 0 Updated Dec 27, 2023
  • aog Public

    PyTorch Implementation of the paper "Defining and Quantifying the Emergence of Sparse Concepts in DNNs" (CVPR 2023)

    Jupyter Notebook 8 0 1 0 Updated Dec 24, 2023
  • interaction-concept Public

    PyTorch implementation of the paper "Does a Neural Network Really Encode Symbolic Concept?" (ICML 2023)

    Jupyter Notebook 7 0 1 0 Updated Dec 24, 2023
  • Learn Public

    PyTorch implementation of the paper "Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities" in (NeurIPS 2023)

    Python 0 0 0 0 Updated Dec 13, 2023
  • sjtu-xai-lab.github.io Public

    Quanshi Zhang's website. Sjtu interpretable ml lab website.

    HTML 3 1 0 0 Updated Oct 26, 2022
  • transformation-complexity Public

    PyTorch implementation of "Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs"

    Jupyter Notebook 1 0 0 0 Updated Jun 15, 2022

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