{"url":"/method/peer-attention","slug":"peer-attention","name":"Peer-attention","full_name":"Peer-attention","full_name_withheld":false,"description_markdown":"**Peer-attention** is a network component which dynamically learns the attention weights using another block or input modality. This is unlike AssembleNet which partially relies on exponential mutations to explore connections. Once the attention weights are found, we can either prune the connections by only leaving the argmax over $h$ or leave them with [softmax](https://paperswithcode.com/method/softmax).","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://arxiv.org/abs/2008.08072v1","title":"AssembleNet++: Assembling Modality Representations via Attention Connections","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":"Attention Modules","url":"/methods/category/attention-modules","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/assemblenet-assembling-modality","title":"AssembleNet++: Assembling Modality Representations via Attention Connections","date":"2020-08-18","arxiv_id":"2008.08072","n_code_links":1,"syntology":null}],"papers_shown":1,"tasks":[{"task":"/task/action-classification","name":"Action Classification","papers":1},{"task":"/task/activity-recognition","name":"Activity Recognition","papers":1}],"tasks_shown":2,"n_tasks":2,"usage_by_year":[{"year":"2020","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/peer-attention"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}