{"id":"1906.10670","title":"Improving performance of deep learning models with axiomatic attribution priors and expected gradients","url":"https://codeofpaper.com/paper/1906.10670","arxiv_url":"https://arxiv.org/abs/1906.10670","published":"2019-06-25","code":"official","best":{"full_name":"suinleelab/attributionpriors","url":"https://github.com/suinleelab/attributionpriors","tier":"official","stars":128,"license":"MIT","framework":"TensorFlow","language":"Jupyter Notebook","last_commit":"2021-03-19T19:43:58"},"most_starred_community":null,"implementations":[{"full_name":"suinleelab/attributionpriors","url":"https://github.com/suinleelab/attributionpriors","tier":"official","stars":128,"license":"MIT","framework":"TensorFlow","language":"Jupyter Notebook","last_commit":"2021-03-19T19:43:58"}],"possible_matches":0}