“2020-07-27”版本间的差异

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(以“{| class="wikitable" !People !! This Week !! Next Week !! Task Tracking (<font color="red">DeadLine</font>) |- |- |Dong Wang || * || * || * |- |- |Yunqi Cai...”为内容创建页面)
 
 
(8位用户的9个中间修订版本未显示)
第6行: 第6行:
 
|Dong Wang
 
|Dong Wang
 
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*  
+
* More investigation on Maximum Gaussianlity training
 +
* Reformulate the TASLP paper
 
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*  
+
* Complete the MG paper
 +
* Start working on the condition transfer (CT) paper
 
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*   
 
*   
第17行: 第19行:
 
|Yunqi Cai
 
|Yunqi Cai
 
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*
+
*experiments on Gaussian regularization
 
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*  
 
*  
第28行: 第30行:
 
|Zhiyuan Tang
 
|Zhiyuan Tang
 
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*  
+
* Adaptation with nf-dt asr.
 
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*  
+
* Continue.
 
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*   
 
*   
第39行: 第41行:
 
|Lantian Li
 
|Lantian Li
 
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*  
+
* Compare two MLE methods.
 +
* Length norm and whitening in NL scoring.
 
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||
*  
+
* Self-learning plus NDA.
 
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||
 
*   
 
*   
第50行: 第53行:
 
|Ying Shi
 
|Ying Shi
 
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||  
*  
+
* sub space with trainable mean of r code
 
+
* sub space flow with gauss. mixture r code
 
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*
+
* analysis the gaussianlity of r space
 +
* verify the robustness of sub space flow
 
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*   
 
*   
第62行: 第66行:
 
|Haoran Sun
 
|Haoran Sun
 
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*  
+
* Analysed latent space of ML-DNF
 +
* Classification via logpz
 
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*  
+
* Analysises of subspace DNF
 
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*   
 
*   
第84行: 第89行:
 
|Jiawen Kang
 
|Jiawen Kang
 
||  
 
||  
*  
+
* Read NDA papers;
*  
+
* MAML code;
 +
* MAML experiments.
 
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||
*  
+
* MAML SSMC&MC experiments.
*
+
 
||
 
||
 
*   
 
*   
第97行: 第102行:
 
|Ruiqi Liu
 
|Ruiqi Liu
 
||  
 
||  
*
+
* revise the paper draft.
 +
* Multi-genre generalization.
 +
* MC experiments data.
 
||
 
||
*
+
* MC experiments
 
||
 
||
 
*   
 
*   
第107行: 第114行:
 
|Haolin Chen
 
|Haolin Chen
 
||  
 
||  
*  
+
* Subspace Flow
 +
** Noisy r var=1, fixed mean
 +
** GMM Loss
 
||
 
||
*  
+
* Subspace Flow
 +
** Other noise
 +
** Improve performance
 
||
 
||
 
*   
 
*   

2020年7月27日 (一) 00:01的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • More investigation on Maximum Gaussianlity training
  • Reformulate the TASLP paper
  • Complete the MG paper
  • Start working on the condition transfer (CT) paper
Yunqi Cai
  • experiments on Gaussian regularization
Zhiyuan Tang
  • Adaptation with nf-dt asr.
  • Continue.
Lantian Li
  • Compare two MLE methods.
  • Length norm and whitening in NL scoring.
  • Self-learning plus NDA.
Ying Shi
  • sub space with trainable mean of r code
  • sub space flow with gauss. mixture r code
  • analysis the gaussianlity of r space
  • verify the robustness of sub space flow
Haoran Sun
  • Analysed latent space of ML-DNF
  • Classification via logpz
  • Analysises of subspace DNF
Yue Fan
Jiawen Kang
  • Read NDA papers;
  • MAML code;
  • MAML experiments.
  • MAML SSMC&MC experiments.
Ruiqi Liu
  • revise the paper draft.
  • Multi-genre generalization.
  • MC experiments data.
  • MC experiments
Haolin Chen
  • Subspace Flow
    • Noisy r var=1, fixed mean
    • GMM Loss
  • Subspace Flow
    • Other noise
    • Improve performance