{"url":"/method/npid-2","slug":"npid-2","name":"NPID++","full_name":"NPID++","full_name_withheld":false,"description_markdown":"**NPID++** (Non-Parametric Instance Discrimination) is a self-supervision approach that takes a non-parametric classification approach. It approves upon [NPID](https://paperswithcode.com/method/npid) by using more negative samples and training for more epochs.","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/1912.01991v1","title":"Self-Supervised Learning of Pretext-Invariant Representations","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":"Self-Supervised Learning","url":"/methods/category/self-supervised-learning","pwc_aliases":[]}],"n_papers_tagged":1,"archive_num_papers":null,"papers_newest_first":[{"paper":"/paper/self-supervised-learning-of-pretext-invariant","title":"Self-Supervised Learning of Pretext-Invariant Representations","date":"2019-12-04","arxiv_id":"1912.01991","n_code_links":7,"syntology":{"ran":3,"of":4,"unverified":1,"pointer_only":4}}],"papers_shown":1,"tasks":[{"task":"/task/contrastive-learning","name":"Contrastive Learning","papers":1},{"task":"/task/object-detection","name":"Object Detection","papers":1},{"task":"/task/representation-learning","name":"Representation Learning","papers":1},{"task":"/task/self-supervised-image-classification","name":"Self-Supervised Image Classification","papers":1},{"task":"/task/self-supervised-learning","name":"Self-Supervised Learning","papers":1},{"task":"/task/semi-supervised-image-classification","name":"Semi-Supervised Image Classification","papers":1},{"task":"/task/object-detection-1","name":"object-detection","papers":1}],"tasks_shown":7,"n_tasks":7,"usage_by_year":[{"year":"2019","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/npid-2"},"syntology_read_at":"2026-09-24T18:15:14+00:00"}