Difference between revisions of "2020-07-27"

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|Ying Shi
 
|Ying Shi
 
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* sub space flow with gauss. r code  
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* sub space with trainable mean of r code
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* sub space flow with gauss. mixture r code  
 
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* analysis the gaussianlity of r space
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* verify the robustness of sub space flow
 
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Revision as of 01:56, 27 July 2020

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
Zhiyuan Tang
Lantian Li
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