{"url":"/method/fishr","slug":"fishr","name":"Fishr","full_name":"Fishr","full_name_withheld":false,"description_markdown":"**Fishr** is a learning scheme to enforce domain invariance in the space of the gradients of the loss function: specifically, it introduces a regularization term that matches the domain-level variances of gradients across training domains. Critically, the strategy exhibits close relations with the Fisher Information and the Hessian of the loss. Forcing domain-level gradient covariances to be similar during the learning procedure eventually aligns the domain-level loss landscapes locally around the final weights.","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/2109.02934v3","title":"Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization","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":"Robustness Methods","url":"/methods/category/robustness-methods","pwc_aliases":[]}],"n_papers_tagged":2,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/understanding-hessian-alignment-for-domain","title":"Understanding Hessian Alignment for Domain Generalization","date":"2023-08-22","arxiv_id":"2308.11778","n_code_links":1,"syntology":{"ran":4,"of":6,"unverified":2,"pointer_only":6}},{"paper":"/paper/fishr-invariant-gradient-variances-for-out-of","title":"Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization","date":"2021-09-07","arxiv_id":"2109.02934","n_code_links":2,"syntology":{"ran":1,"of":1,"unverified":0,"pointer_only":1}}],"papers_shown":2,"tasks":[{"task":"/task/domain-generalization","name":"Domain Generalization","papers":2},{"task":"/task/autonomous-vehicles","name":"Autonomous Vehicles","papers":1},{"task":"/task/federated-learning","name":"Federated Learning","papers":1},{"task":"/task/out-of-distribution-generalization","name":"Out-of-Distribution Generalization","papers":1}],"tasks_shown":4,"n_tasks":4,"usage_by_year":[{"year":"2021","papers":1},{"year":"2023","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/fishr"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}