Lab for Interpretability and Theory-Driven Deep Learning
Popular repositories Loading
-
interaction-concept
interaction-concept PublicPyTorch implementation of the paper "Does a Neural Network Really Encode Symbolic Concept?" (ICML 2023)
Jupyter Notebook 9
-
generalizable-interaction
generalizable-interaction PublicPyTorch implementation of the paper "Defining and extracting generalizable interaction primitives from DNNs" (ICLR 2024)
-
sjtu-xai-lab.github.io
sjtu-xai-lab.github.io PublicQuanshi Zhang's website. Sjtu interpretable ml lab website.
-
transformation-complexity
transformation-complexity PublicPyTorch implementation of "Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs"
Jupyter Notebook 1
-
BNN-concepts
BNN-concepts PublicPyTorch implementation of the paper "Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts" (ICML 2023)
Python 1
Repositories
- 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 - InteractionSparsity Public
sjtu-xai-lab/InteractionSparsity’s past year of commit activity - 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 - UnifyAttribution Public
sjtu-xai-lab/UnifyAttribution’s past year of commit activity - 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 - 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 - 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 - 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
People
This organization has no public members. You must be a member to see who’s a part of this organization.
Most used topics
Loading…