“2020-07-13”版本间的差异

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（6位用户的6个中间修订版本未显示）
第6行： 第6行：
 
|Dong Wang
 
|Dong Wang
 
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* deepnorm2 paper refinement.
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* More investigation on the optimum with NL, e.g., the global thresholding property
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* Formulation for AV denosing and phone-aware DNF/NDA
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* Continue the NB book.
 
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* Complete the formulation of the AV denoising approach.
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* Continue the NB book
 
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第17行： 第21行：
 
|Yunqi Cai
 
|Yunqi Cai
 
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*experiments on DNF2 and reconstructing paper structure
 
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* experiments on New DNF2 paper
 
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第28行： 第32行：
 
|Zhiyuan Tang
 
|Zhiyuan Tang
 
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* DT + DNF Regularization.
 
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* Domian adaptation.
 
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第39行： 第43行：
 
|Lantian Li
 
|Lantian Li
 
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* Enroll-test mismatch (test on large datasets)
 
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* Enroll-test mismatch.
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第50行： 第52行：
 
|Ying Shi
 
|Ying Shi
 
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* BP + length norm enhancement method
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* Sub space flow plan A and plan B
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* Sub-space flow
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* visulization and analysis of Sub space r code
 
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* Continue on Sub-space flow
 
* Continue on Sub-space flow
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** Multi-SNR variance
 
 
** Cyclic loss
 
** Cyclic loss
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* Sub-space plan B
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* Re-train a DAE model with state of the art result
 
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第103行： 第104行：
 
|Ruiqi Liu
 
|Ruiqi Liu
 
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*Complete the experiment and write the paper.
 
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*Continue.
 
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第113行： 第114行：
 
|Haolin Chen
 
|Haolin Chen
 
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* Subspace Glow test
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* Subspace Flow training and test
 
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* Subspace Flow planA, B, cycle loss
 
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2020年7月19日 (日) 23:54的最后版本

People This Week Next Week Task Tracking (DeadLine)
Dong Wang
  • deepnorm2 paper refinement.
  • More investigation on the optimum with NL, e.g., the global thresholding property
  • Formulation for AV denosing and phone-aware DNF/NDA
  • Continue the NB book.
  • Complete the formulation of the AV denoising approach.
  • Continue the NB book
Yunqi Cai
  • experiments on DNF2 and reconstructing paper structure
  • experiments on New DNF2 paper
Zhiyuan Tang
  • DT + DNF Regularization.
  • Domian adaptation.
Lantian Li
  • Enroll-test mismatch (test on large datasets)
  • Enroll-test mismatch.
Ying Shi
  • Sub space flow plan A and plan B
  • visulization and analysis of Sub space r code
  • Continue on Sub-space flow
    • Cyclic loss
  • Re-train a DAE model with state of the art result
Haoran Sun
  • Analyzed latent space of VAE and AE on TIMIT
  • The same analysis on VAE with larger latent space dimension
  • The same analysis on Glow
  • Supervised approaches
Yue Fan
Jiawen Kang
  • Prepare new Near-far data
  • Collect experiments data
  • Write multi-conditon paper
  • Revise multi-conditon paper
  • MAML experiments
Ruiqi Liu
  • Complete the experiment and write the paper.
  • Continue.
Haolin Chen
  • Subspace Glow test
  • Subspace Flow training and test
  • Subspace Flow planA, B, cycle loss
取自“http://index.cslt.org/mediawiki/index.php?title=2020-07-13&oldid=35275”