《Multi-Label Zero-Shot Learning With Structured Knowledge Graphs》論文筆記
《Multi-Label Zero-Shot Learning With Structured Knowledge Graphs》論文筆記 論文摘要 introduction 臺灣國立大學、卡耐基梅隆大學 論文摘要 本文提出了一個對於multi-label zero-shot學習的深度學習框架，這個框架能夠爲每個輸入的實例預測一到多個unseen class labels。 根據人類在objets
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相關文章
- 1. Multi-Label Zero-Shot Learning with Structured Knowledge Graphs 論文筆記
- 2. Multi-Label Zero-Shot Learning with Structured Knowledge Graphs
- 3. 【論文筆記】Representation Learning of Knowledge Graphs with Entity Descriptions
- 4. 論文筆記：Representation Learning of Knowledge Graphs with Entity Descriptions
- 5. 【譯】Deep Learning with Knowledge Graphs
- 6. 【論文筆記】SEEK: Segmented Embedding of Knowledge Graphs
- 7. 《Structured Knowledge Distillation for Dense Prediction》論文筆記
- 8. 論文筆記：ACL 2019 Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
- 9. 【論文筆記】Deep Learning on Graphs: A Survey
- 10. 論文筆記——News Recommendation with Topic-Enriched Knowledge Graphs