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@dtak

Data to Actionable Knowledge (DtAK) Lab

Popular repositories

  1. Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"

    Python 72 22

  2. Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"

    Jupyter Notebook 44 12

  3. rrr Public

    Code/figures in Right for the Right Reasons

    Jupyter Notebook 43 12

  4. General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.

    Python 31 6

  5. Code for training and testing a Hidden Parameter Markov Decision Process, used to facilitate the transfer of learning

    Python 24 10

  6. Public repo containing code to train, visualize, and evaluate semi-supervised topic models and baselines for regression/classification on labeled bag-of-words dataset, as described in Hughes et al.…

    Python 11 5

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