{"url":"/method/dnn2lr","slug":"dnn2lr","name":"DNN2LR","full_name":"DNN2LR","full_name_withheld":false,"description_markdown":"**DNN2LR** is an automatic feature crossing method to find feature interactions in a deep neural network, and use them as cross features in logistic regression. In general, DNN2LR consists of two steps: (1) generating a compact and accurate candidate set of cross feature fields; (2) searching in the candidate set for the final cross feature fields.","description_state":"present","introduced_year":null,"introduced_by":{"title":"DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data","paper":"/paper/dnn2lr-interpretation-inspired-feature","first_author":"Zhaocheng Liu","n_authors":4,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/dnn2lr-interpretation-inspired-feature"},"source":{"url":"https://arxiv.org/abs/2008.09775v5","title":"DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data","url_on_a_paper_host":true},"code_snippet_url":null,"code_snippet_url_on_a_code_host":false,"categories":[{"area":"General","area_id":"general","collection":"Deep Tabular Learning","url":"/methods/category/deep-tabular-learning","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":null,"title":"DNN2LR: Automatic Feature Crossing for Credit Scoring","date":"2021-02-24","arxiv_id":"2102.12036","n_code_links":0,"syntology":null},{"paper":"/paper/dnn2lr-interpretation-inspired-feature","title":"DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data","date":"2020-08-22","arxiv_id":"2008.09775","n_code_links":0,"syntology":null}],"papers_shown":2,"tasks":[{"task":"/task/feature-engineering","name":"Feature Engineering","papers":1}],"tasks_shown":1,"n_tasks":1,"usage_by_year":[{"year":"2020","papers":1},{"year":"2021","papers":1}],"row_source":"methods_table","archive":{"source":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","archive_url":"https://paperswithcode.com/method/dnn2lr"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}