“Tianyi Luo 2016-04-25”版本间的差异
来自cslt Wiki
| 第10行： | 第10行： | ||
* Finish submiting the camera version paper of IJCAI 2016. | * Finish submiting the camera version paper of IJCAI 2016. | ||
* Update the version of Technical Report about Chinese Song Iambics generation. | * Update the version of Technical Report about Chinese Song Iambics generation. | ||
| − | |||
--------------------2016-04-21 | --------------------2016-04-21 | ||
| + | * Finish helping Teacher Wang to prepare for text group's presentation(Tang poetry and Songci generation and Intelligent QA system) for Tsinghua University's 105 anniversary. | ||
=== Plan to do next week === | === Plan to do next week === | ||
* To implement tensorflow version of RNN/LSTM Max margin vector training. | * To implement tensorflow version of RNN/LSTM Max margin vector training. | ||
===Interested papers === | ===Interested papers === | ||
*Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]] | *Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [[http://zheng-wen.com/Cascading_Bandit_Paper.pdf pdf]] | ||
2016年4月21日 (四) 10:37的版本
Plan to do this week
- To implement tensorflow version of RNN/LSTM Max margin vector training.
Work done in this week
2016-04-18
- Optimize theano version of Generationg the similar questions' vectors based on RNN.
- Finish implementing theano version of LSTM Max margin vector training.
2016-04-19
- Optimize theano version of Generationg the similar questions' vectors based on RNN.
2016-04-20
- Finish submiting the camera version paper of IJCAI 2016.
- Update the version of Technical Report about Chinese Song Iambics generation.
2016-04-21
- Finish helping Teacher Wang to prepare for text group's presentation(Tang poetry and Songci generation and Intelligent QA system) for Tsinghua University's 105 anniversary.
Plan to do next week
- To implement tensorflow version of RNN/LSTM Max margin vector training.
Interested papers
- Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [pdf]
