【论文整理】DL|【论文整理】DL paper notes 2015-06
2015-06
- Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning [arXiv]
- A Neural Network Approach to Context-Sensitive Generation of Conversational Responses [arXiv]
- Document Embedding with Paragraph Vectors [arXiv]
- A Neural Conversational Model [arXiv]
- Skip-Thought Vectors [arXiv]
- Pointer Networks [arXiv]
- Spatial Transformer Networks [arXiv]
- Tree-structured composition in neural networks without tree-structured architectures [arXiv]
- Visualizing and Understanding Neural Models in NLP [arXiv]
- Learning to Transduce with Unbounded Memory [arXiv]
- Ask Me Anything: Dynamic Memory Networks for Natural Language Processing [arXiv]
- Deep Knowledge Tracing [arXiv]
推荐阅读
- 宽容谁
- 我要做大厨
- 增长黑客的海盗法则
- 画画吗（）
- 2019-02-13——今天谈梦想（）
- 远去的风筝
- 三十年后的广场舞大爷
- 叙述作文
- 20190302|20190302 复盘翻盘
- 学无止境，人生还很长