Lab for Interpretability and Theory-Driven Deep Learning
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interaction-concept
interaction-concept PublicPyTorch implementation of the paper "Does a Neural Network Really Encode Symbolic Concept?" (ICML 2023)
Jupyter Notebook 7
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sjtu-xai-lab.github.io
sjtu-xai-lab.github.io PublicQuanshi Zhang's website. Sjtu interpretable ml lab website.
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generalizable-interaction
generalizable-interaction PublicPyTorch implementation of the paper "Defining and extracting generalizable interaction primitives from DNNs" (ICLR 2024)
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transformation-complexity
transformation-complexity PublicPyTorch implementation of "Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs"
Jupyter Notebook 1
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BNN-concepts
BNN-concepts PublicPyTorch implementation of the paper "Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts" (ICML 2023)
Python 1
Repositories
- generalizable-interaction Public
PyTorch implementation of the paper "Defining and extracting generalizable interaction primitives from DNNs" (ICLR 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)
- BNN-concepts Public
PyTorch implementation of the paper "Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts" (ICML 2023)
- interaction-concept Public
PyTorch implementation of the paper "Does a Neural Network Really Encode Symbolic Concept?" (ICML 2023)
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- transformation-complexity Public
PyTorch implementation of "Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs"
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