A Hierarchical Neural Autoencoder for Paragraphs and Documents
這是ACL2015的一片關於自然語言生成的文章，paper鏈接https://arxiv.org/abs/1506.01057，一作是李紀爲大神（據說是stanford CS方向第一個3年畢業的PHD），現在是香儂科技的創始人，作者homepage http://stanford.edu/~jiweil/index.html，code在github上面已經released出來了https://gi
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相關文章
- 1. A Hierarchical Neural Autoencoder for Paragraphs and Documents
- 2. HIERARCHICAL INTERPRETATIONS FOR NEURAL NET- WORK PREDICTIONS
- 3. Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth E...
- 4. PRN（20200816）：A Hierarchical Deep Convolutional Neural Network for Incremental Learning [Tree-CNN]
- 5. HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS
- 6. Hierarchical Recurrent Neural Networks for Audio Super-Resolution
- 7. Lucene: Boosting documents and fields
- 8. A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Seg (CVPR 2019)
- 9. A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classificatio
- 10. A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions