{"url":"/method/l2m","slug":"l2m","name":"L2M","full_name":"Learning to Match","full_name_withheld":false,"description_markdown":"**L2M** is a learning algorithm that can work for most cross-domain distribution matching tasks. It automatically learns the cross-domain distribution matching without relying on hand-crafted priors on the matching loss. Instead, L2M reduces the inductive bias by using a meta-network to learn the distribution matching loss in a data-driven way.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Learning to Match Distributions for Domain Adaptation","paper":"/paper/learning-to-match-distributions-for-domain","first_author":"Chaohui Yu","n_authors":8,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/learning-to-match-distributions-for-domain"},"source":{"url":"https://arxiv.org/abs/2007.10791v3","title":"Learning to Match Distributions for Domain Adaptation","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":"Domain Adaptation","url":"/methods/category/domain-adaptation","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":2,"papers_newest_first":[{"paper":"/paper/lifelong-dp-consistently-bounded-differential","title":"Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning","date":"2022-07-26","arxiv_id":"2207.12831","n_code_links":1,"syntology":null},{"paper":"/paper/learning-to-match-distributions-for-domain","title":"Learning to Match Distributions for Domain Adaptation","date":"2020-07-17","arxiv_id":"2007.10791","n_code_links":1,"syntology":null}],"papers_shown":2,"tasks":[{"task":"/task/machine-learning","name":"BIG-bench Machine Learning","papers":1},{"task":"/task/domain-adaptation","name":"Domain Adaptation","papers":1},{"task":"/task/inductive-bias","name":"Inductive Bias","papers":1}],"tasks_shown":3,"n_tasks":3,"usage_by_year":[{"year":"2020","papers":1},{"year":"2022","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/l2m"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}