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Lab for Interpretability and Theory-Driven Deep Learning

Lab for Interpretability and Theory-Driven Deep Learning, SJTU

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  1. aog aog Public

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

    Jupyter Notebook 10

  2. interaction-concept interaction-concept Public

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

    Jupyter Notebook 9

  3. generalizable-interaction generalizable-interaction Public

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

    Jupyter Notebook 4 1

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

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

    HTML 3 1

  5. transformation-complexity transformation-complexity Public

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

    Jupyter Notebook 2

  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 10 of 12 repositories
  • UnifyAttribution Public
    sjtu-xai-lab/UnifyAttribution’s past year of commit activity
    JavaScript 0 0 0 0 Updated Dec 12, 2024
  • ReasoningMemorization Public

    Academic page for Paper: Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs

    sjtu-xai-lab/ReasoningMemorization’s past year of commit activity
    JavaScript 0 1 0 0 Updated Dec 12, 2024
  • InteractionDynamics Public

    Academic page for the empirical and theoretical findings of the two-phase dynamics of interactions

    sjtu-xai-lab/InteractionDynamics’s past year of commit activity
    JavaScript 0 0 0 0 Updated Dec 12, 2024
  • InteractionSparsity Public
    sjtu-xai-lab/InteractionSparsity’s past year of commit activity
    JavaScript 0 0 0 0 Updated Dec 12, 2024
  • interaction-sparsity Public

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

    sjtu-xai-lab/interaction-sparsity’s past year of commit activity
    Python 1 0 0 0 Updated Nov 11, 2024
  • sjtu-xai-lab.github.io Public

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

    sjtu-xai-lab/sjtu-xai-lab.github.io’s past year of commit activity
    HTML 3 1 0 0 Updated Oct 4, 2024
  • interaction-concept Public

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

    sjtu-xai-lab/interaction-concept’s past year of commit activity
    Jupyter Notebook 9 0 0 0 Updated Aug 19, 2024
  • generalizable-interaction Public

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

    sjtu-xai-lab/generalizable-interaction’s past year of commit activity
    Jupyter Notebook 4 1 0 0 Updated Jun 13, 2024
  • BNN-concepts Public

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

    sjtu-xai-lab/BNN-concepts’s past year of commit activity
    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)

    sjtu-xai-lab/aog’s past year of commit activity
    Jupyter Notebook 10 0 1 0 Updated Dec 24, 2023
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