{"url":"/method/instance-level-meta-normalization","slug":"instance-level-meta-normalization","name":"Instance-Level Meta Normalization","full_name":"Instance-Level Meta Normalization","full_name_withheld":false,"description_markdown":"**Instance-Level Meta Normalization** is a normalization method that addresses a learning-to-normalize problem. ILM-Norm learns to predict the normalization parameters via both the feature feed-forward and the gradient back-propagation paths. It uses an auto-encoder to predict the weights $\\omega$ and bias $\\beta$ as the rescaling parameters for recovering the distribution of the tensor $x$ of feature maps. Instead of using the entire feature tensor $x$ as the input for the auto-encoder, it uses the mean $\\mu$ and variance $\\gamma$ of $x$ for characterizing its statistics.","description_state":"present","introduced_year":null,"introduced_by":{"title":"Instance-Level Meta Normalization","paper":"/paper/instance-level-meta-normalization","first_author":"Songhao Jia","n_authors":3,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/instance-level-meta-normalization"},"source":{"url":"http://arxiv.org/abs/1904.03516v1","title":"Instance-Level Meta Normalization","url_on_a_paper_host":true},"code_snippet_url":"https://github.com/Gasoonjia/ILM-Norm/blob/efb189fadc045d5f80ef50192634d78a3443846b/lib/nn/ilm_ln.py#L6","code_snippet_url_on_a_code_host":true,"categories":[{"area":"General","area_id":"general","collection":"Normalization","url":"/methods/category/normalization","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/instance-level-meta-normalization","title":"Instance-Level Meta Normalization","date":"2019-04-06","arxiv_id":"1904.03516","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[],"tasks_shown":0,"n_tasks":0,"usage_by_year":[{"year":"2019","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/instance-level-meta-normalization"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}