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Commits on Jun 6, 2022

• Refactor and cleanup to standarize code style.

  mateoespinosa

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Commits on Apr 11, 2022

• Fixing issue with CBM stateful metrics causing issues with predictive metrics during evaluation. Allowing CBMs to be provided concept weights and also to use a bottleneck with a single multiclass c…

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  mateoespinosa

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Commits on Jan 31, 2022

• Adding Self-Explaining Neural Networks (SENN)s as a model to use in our library.

  mateoespinosa

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• Cleaning up details in a CBM, CCD, and VAE.

  mateoespinosa

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• Fixing small bugs in evaluation metrics.

  mateoespinosa

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Commits on Sep 19, 2021

• Merge branch 'main' of https://github.com/dmitrykazhdan/concept-based-xai

  mateoespinosa

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• Addressing issue in concept score computation when using max pool mean in CW.

  mateoespinosa

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• Fix bug niching AUC

  pietrobarbiero

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Commits on Sep 16, 2021

• Fix bug niching AUC

  pietrobarbiero

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• Niching metrics w/ mutual information

  pietrobarbiero

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Commits on Sep 15, 2021

• Niching metrics w/ AUC

  pietrobarbiero

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Commits on Sep 9, 2021

• Addressing regression in purity score and adding initial weight loading for CCD.

  mateoespinosa

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Commits on Aug 28, 2021

• Merge branch 'main' of https://github.com/dmitrykazhdan/concept-based-xai

  mateoespinosa

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• Further cleanup of OCACE.

  mateoespinosa

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• Adding max alignment capabilities to our purity matrix. Simplifying similarity matrix computation.

  mateoespinosa

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• Fixing issue in concept score computation.

  mateoespinosa

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Commits on Aug 27, 2021

• Merge branch 'main' of https://github.com/dmitrykazhdan/concept-based-xai into main

  pietrobarbiero

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• Update niching metrics

  pietrobarbiero

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Commits on Aug 26, 2021

• Adding method for randoming sampling from VAEs.

  mateoespinosa

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• Including direct completeness score computation bypassing the concept-to-label pretrained model.

  mateoespinosa

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• Including missing dependency and reference.

  mateoespinosa

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• Cleaning up and fixing issues in CCD topic model. It now has been successfully tested in simple scenarios.

  mateoespinosa

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Commits on Aug 24, 2021

• Including the toy tabular dataset by Mahinpei et al. as an accessible dataset.

  mateoespinosa

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• Adding concept similarity matrix computation as in Concept Whitening paper.

  mateoespinosa

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Commits on Aug 23, 2021

• Implementation of ML-VAE (and all of its variants). Standarization of style across all VAE files. Cleanup of unecessary and noisy arguments in different methods and classes.

  mateoespinosa

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• Implementation of ConceptWhitening module as a layer that can be included into any TF model.

  mateoespinosa

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• Adding bypass CBM model as well as removing tf.function decorators to avoid unecessary retracings.

  mateoespinosa

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• Extending purity score functions to work with any representation shape rather than just vectors.

  mateoespinosa

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• Extending shapes3d loaded and fixing issues in dSprites loader.

  mateoespinosa

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Commits on Aug 16, 2021

• Allowing concept purity to be computable in multiclass settings.

  mateoespinosa

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• Addressing miscalculated concept accuracy.

  mateoespinosa

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• Generalizing dsprites dataset to work with non-static task definitions.

  mateoespinosa

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Commits on Aug 9, 2021

• Cleaning up unnecessary calls.

  mateoespinosa

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• Adding Yeh et al.'s completeness score for vector instances.

  mateoespinosa

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Commits on Aug 5, 2021

• Cleaning up CBM file and adding description with link to paper.

  mateoespinosa

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