“Tianyi Luo 2016-05-02”版本间的差异

来自cslt Wiki
跳转至: 导航搜索
Lty讨论 | 贡献
 
第4行: 第4行:
 
=== Work done in this week ===
 
=== Work done in this week ===
 
--------------------2016-04-25
 
--------------------2016-04-25
* Conduct some preprocess of xiaobing corpus.
+
* Conduct some preprocessing of xiaobing corpus.
 
--------------------2016-04-26
 
--------------------2016-04-26
 
* Help jiyuan to understand the music generation paper.
 
* Help jiyuan to understand the music generation paper.
第11行: 第11行:
 
* Modify the LSTM Max margin vector training code. Its cost is lower than RNN and the training speed is slower than RNN. The performance improves from 82.39% to 84.83%.
 
* Modify the LSTM Max margin vector training code. Its cost is lower than RNN and the training speed is slower than RNN. The performance improves from 82.39% to 84.83%.
 
--------------------2016-04-28
 
--------------------2016-04-28
 
+
* Finish part of code about qaa(Current sample is q1; Positive sample is a1; Negtive sampling is a2.) max margin theano version.
 
--------------------2016-04-29
 
--------------------2016-04-29
 
+
* Finish the code about qaa(Current sample is q1; Positive sample is a1; Negtive sampling is a2.) max margin theano version.
--------------------2016-04-30
+
--------------------2016-04-30~2016-05-01
 
+
The Holiday of Labors Day
--------------------2016-05-01
+
  
  

2016年5月9日 (一) 10:44的最后版本

Plan to do this week

  • To implement tensorflow version of RNN/LSTM Max margin vector training.
  • To implement attention chatting model with xiaobing corpus.

Work done in this week


2016-04-25
  • Conduct some preprocessing of xiaobing corpus.

2016-04-26
  • Help jiyuan to understand the music generation paper.
  • Check jiyuan's code(from RNN-RBM to LSTM-RBM).

2016-04-27
  • Modify the LSTM Max margin vector training code. Its cost is lower than RNN and the training speed is slower than RNN. The performance improves from 82.39% to 84.83%.

2016-04-28
  • Finish part of code about qaa(Current sample is q1; Positive sample is a1; Negtive sampling is a2.) max margin theano version.

2016-04-29
  • Finish the code about qaa(Current sample is q1; Positive sample is a1; Negtive sampling is a2.) max margin theano version.

2016-04-30~2016-05-01

The Holiday of Labors Day


Plan to do next week

  • To implement tensorflow version of RNN/LSTM Max margin vector training.
  • To implement attention chatting model with xiaobing corpus.

Interested papers

  • Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [pdf]