對《Deep Two-path Semi-supervised Learning for Fake News Detection》解讀
對《Deep Two-path Semi-supervised Learning for Fake News Detection》 這篇是我看到第一篇用半監督學習做的虛假新聞檢測任務的論文。筆者對半監督學習並沒瞭解多少，這篇論文不好評價， 還請見諒。 Abstract 本文通過半監督學習方法來進行虛假新聞檢測。 在這個模型中有兩條路徑，一個通過監督學習方法， 另一個用無監督學習方法進行檢測。 它們
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相關文章
- 1. 【論文解讀 WWW 2019 | MVAE】Multimodal Variational Autoencoder for Fake News Detection
- 2. 【論文解讀 arXiv 2019 | DEAN】DEAN: Learning Dual Emotion for Fake News Detection on Social Media
- 3. 【論文解讀 ICDM 2019 | MVNN】Exploiting Multi-domain Visual Information for Fake News Detection
- 4. 【論文解讀 KDD 2018 | EANN】Event Adversarial Neural Networks for Multi-Modal Fake News Detection
- 5. NLPCC2019 - User-Characteristic Enhanced Model for Fake News Detection in Social Media
- 6. 【學習】Deep Learning for Deepfakes Creation and Detection
- 7. 論文閱讀：Fake News Detection on Social Media:A Data Mining Perspective
- 8. 論文閱讀：DRN: A Deep Reinforcement Learning Framework for News Recommendation
- 9. Deep Learning Object Detection
- 10. A Deep Learning-Based System for Vulnerability Detection