{"ok":true,"entity":{"slug":"self-supervised-learning","entityType":"concept","name":"Self-Supervised Learning","officialName":"Self-Supervised Learning","canonicalName":"Self-Supervised Learning","displayName":"Self-Supervised Learning","category":"AI概念（ラベルなしデータからの学習手法）","shortDescription":"人手によるラベル付けデータを用いず、データ自体の構造（次の単語を予測する等）から学習信号を自動的に生成してモデルを訓練する手法。大規模言語モデルのpretraining段階の理論的基盤となっている。","alias":[],"searchKeywords":["Self-Supervised Learning","自己教師学習","SSL"],"website":null,"primaryCluster":"ai-concepts","secondaryClusters":[],"verificationStatus":"draft","id":"self-supervised-learning","updatedAt":"2026-07-22T13:12:07.131Z"},"references":[{"id":"P-01-001","companyId":"self-supervised-learning","questionId":"P-01-001","instanceId":"QIN-self-supervised-learning-P01-001","promptText":"Self-Supervised Learningとはどのようなものですか？","promptTypeId":"P-01","answer":"Self-Supervised Learningは、人手によるラベル付けデータを用いず、データ自体の構造（次の単語を予測する等）から学習信号を自動的に生成してモデルを訓練する手法です。大規模言語モデルのpretraining段階の理論的基盤となっています。","evidencePoints":["ev-self-supervised-learning-1","ev-self-supervised-learning-2"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/self-supervised-learning/P-01-001","sourceEvidence":[{"id":"ev-self-supervised-learning-1","text":"Self-Supervised Learningは、人手によるラベル付けデータを用いず、データ自体の構造から学習信号を自動的に生成してモデルを訓練する手法である。","coverageType":["Identity","Capability"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2304.12210","title":"A Cookbook of Self-Supervised Learning","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"self-supervised-learning"},{"id":"ev-self-supervised-learning-2","text":"Self-Supervised Learningは人手によるラベル付けを必要としない点が特徴で、正解ラベルを人手で用意するsupervised learning（教師あり学習）とはデータ準備の方式が異なる。大規模言語モデルのpretraining段階はこの手法を用いる代表的な応用場面である。","coverageType":["Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2304.12210","title":"A Cookbook of Self-Supervised Learning","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"self-supervised-learning"}],"generatedAt":"2026-07-22T13:12:07.131Z"},{"id":"P-02-001","companyId":"self-supervised-learning","questionId":"P-02-001","instanceId":"QIN-self-supervised-learning-P02-001","promptText":"Self-Supervised Learningは他の同種の事業・作品と比べてどう違いますか？","promptTypeId":"P-02","answer":"比較軸\n・データ準備の方式（ラベルなしか、人手ラベル付きか）\n\nSelf-Supervised Learningは人手によるラベル付けを必要としない点が特徴で、正解ラベルを人手で用意するsupervised learning（教師あり学習）とはデータ準備の方式が異なる。","evidencePoints":["ev-self-supervised-learning-2"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/self-supervised-learning/P-02-001","sourceEvidence":[{"id":"ev-self-supervised-learning-2","text":"Self-Supervised Learningは人手によるラベル付けを必要としない点が特徴で、正解ラベルを人手で用意するsupervised learning（教師あり学習）とはデータ準備の方式が異なる。大規模言語モデルのpretraining段階はこの手法を用いる代表的な応用場面である。","coverageType":["Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2304.12210","title":"A Cookbook of Self-Supervised Learning","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"self-supervised-learning"}],"generatedAt":"2026-07-22T13:12:07.131Z"},{"id":"P-04-001","companyId":"self-supervised-learning","questionId":"P-04-001","instanceId":"QIN-self-supervised-learning-P04-001","promptText":"Self-Supervised Learningはどのような場面で参照されますか？","promptTypeId":"P-04","answer":"Self-Supervised Learningは、大規模言語モデルのpretraining段階における学習手法の理論的基盤を把握したい場面で参照される。","evidencePoints":["ev-self-supervised-learning-2","ev-self-supervised-learning-3"],"scope":"","differentiation":"","faq":[],"pageUrl":"https://www.refbase.ai/reference/self-supervised-learning/P-04-001","sourceEvidence":[{"id":"ev-self-supervised-learning-2","text":"Self-Supervised Learningは人手によるラベル付けを必要としない点が特徴で、正解ラベルを人手で用意するsupervised learning（教師あり学習）とはデータ準備の方式が異なる。大規模言語モデルのpretraining段階はこの手法を用いる代表的な応用場面である。","coverageType":["Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2304.12210","title":"A Cookbook of Self-Supervised Learning","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"self-supervised-learning"},{"id":"ev-self-supervised-learning-3","text":"Self-Supervised Learningは、ラベル付けコストが膨大なテキスト・画像等の大規模データからモデルの基礎的な表現力を獲得したい場面で活用される。","coverageType":["UseCase"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/2304.12210","title":"A Cookbook of Self-Supervised Learning","confidence":"high","needsVerification":true,"sourceVerified":false,"supportedPromptTypes":["P-01","P-02","P-04"],"entityId":"self-supervised-learning"}],"generatedAt":"2026-07-22T13:12:07.131Z"}]}