{"url":"/method/normlincomb","slug":"normlincomb","name":"NormLinComb","full_name":"Normalized Linear Combination of Activations","full_name_withheld":false,"description_markdown":"The **Normalized Linear Combination of Activations**, or **NormLinComb**, is a type of activation function that has trainable parameters and uses the normalized linear combination of other activation functions.\r\n\r\n$$NormLinComb(x) = \\frac{\\sum\\limits_{i=0}^{n} w_i \\mathcal{F}_i(x)}{\\mid \\mid W \\mid \\mid}$$","description_state":"present","introduced_year":null,"introduced_by":{"title":"Trainable Activations for Image Classification","paper":"/paper/trainable-activations-for-image","first_author":"Evgenii Pishchik","n_authors":1,"url_abs":null,"archive_paper_url":"https://paperswithcode.com/paper/trainable-activations-for-image"},"source":{"url":"https://doi.org/10.20944/preprints202301.0463.v1","title":"Trainable Activations for Image Classification","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":"Adaptive Activation Functions","url":"/methods/category/adaptive-activation-functions","pwc_aliases":[]},{"area":"General","area_id":"general","collection":"Activation Functions","url":"/methods/category/activation-functions","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":1,"papers_newest_first":[{"paper":"/paper/trainable-activations-for-image","title":"Trainable Activations for Image Classification","date":"2023-01-26","arxiv_id":null,"n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/image-classification","name":"Image Classification","papers":1},{"task":"/task/image-classification","name":"image-classification","papers":1}],"tasks_shown":2,"n_tasks":2,"usage_by_year":[{"year":"2023","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/normlincomb"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}