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dtak.github.io
Publicsignature-activation
Publickernel_mismatch_workshop
Publicanchor-box
Public- Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
addressing-leakage
Publicocbnn-public
PublicGeneral purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.kernel-evolutions-public
Publicwide-bnns-public
Public- Code for Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
osiris
PublicOmitting-States-Irrelevant-to-Return Importance Sampling estimator for off-policy evaluationPOPCORN-POMDP
Public- Code for Evaluating the Interpretability of Generative Models by Interactive Reconstruction
rrr
PublicCode/figures in Right for the Right Reasonstensorpack
Publicmbrl-smdp-ode
Publicporbnet
Publicinterpretable_ope_public
Publicumls_tagger
Publicpgmult
Publici-airl
Public- Code/figures in Learning Qualitatively Diverse and Interpretable Rules for Classification
lit
PublicCode for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"dynamic-mixing
Public