{"url":"/method/cdep","slug":"cdep","name":"CDEP","full_name":"Contextual Decomposition Explanation Penalization","full_name_withheld":false,"description_markdown":"**Contextual Decomposition Explanation Penalization (CDEP)** is a method which leverages existing explanation techniques for neural networks in order to prevent a model from learning\r\nunwanted relationships and ultimately improve predictive accuracy. Given particular importance\r\nscores, CDEP works by allowing the user to directly penalize importances of certain features, or\r\ninteractions. This forces the neural network to not only produce the correct prediction, but also the\r\ncorrect explanation for that prediction","description_state":"present","introduced_year":null,"introduced_by":{"title":null,"paper":null,"first_author":null,"n_authors":0,"url_abs":null,"archive_paper_url":null},"source":{"url":"https://arxiv.org/abs/1909.13584v4","title":"Interpretations are useful: penalizing explanations to align neural networks with prior knowledge","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/laura-rieger/deep-explanation-penalization","code_snippet_url_on_a_code_host":true,"categories":[{"area":"General","area_id":"general","collection":"Interpretability","url":"/methods/category/interpretability","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/reveal-to-revise-an-explainable-ai-life-cycle","title":"Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models","date":"2023-03-22","arxiv_id":"2303.12641","n_code_links":1,"syntology":null},{"paper":"/paper/interpretations-are-useful-penalizing","title":"Interpretations are useful: penalizing explanations to align neural networks with prior knowledge","date":"2019-09-30","arxiv_id":"1909.13584","n_code_links":4,"syntology":{"ran":4,"of":4,"unverified":0,"pointer_only":0}}],"papers_shown":2,"tasks":[{"task":"/task/age-estimation","name":"Age Estimation","papers":1},{"task":"/task/decision-making","name":"Decision Making","papers":1},{"task":"/task/deep-learning","name":"Deep Learning","papers":1},{"task":"/task/xai","name":"Explainable Artificial Intelligence (XAI)","papers":1},{"task":"/task/explainable-artificial-intelligence","name":"Explainable artificial intelligence","papers":1}],"tasks_shown":5,"n_tasks":5,"usage_by_year":[{"year":"2019","papers":1},{"year":"2023","papers":1}],"row_source":"embedded","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/cdep"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}