{"url":"/method/tabnn","slug":"tabnn","name":"TabNN","full_name":"TabNN","full_name_withheld":false,"description_markdown":"TabNN is a universal neural network solution to derive effective NN architectures for tabular data in all kinds of tasks automatically. Specifically, the design of TabNN follows two principles: to explicitly leverage expressive feature combinations and to reduce model complexity. Since GBDT has empirically proven its strength in modeling tabular data, GBDT is used to power the implementation of TabNN.","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://openreview.net/forum?id=r1eJssCqY7","title":"TabNN: A Universal Neural Network Solution for 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":1,"archive_num_papers":null,"papers_newest_first":[{"paper":null,"title":"TabNN: A Universal Neural Network Solution for Tabular Data","date":"2019-05-01","arxiv_id":null,"n_code_links":0,"syntology":null}],"papers_shown":1,"tasks":[],"tasks_shown":0,"n_tasks":0,"usage_by_year":[{"year":"2019","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/tabnn"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}