“2020-07-13”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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* 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
 +
* Continue the NB book.
 
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* Complete the formulation of the AV denoising approach.
 +
* 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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* Sub space flow plan A and plan B
 
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* visulization and analysis of Sub space r code
 
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* Continue on Sub-space flow
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** Cyclic loss
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* Re-train a DAE model with state of the art result
 
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第62行: 第66行:
 
|Haoran Sun
 
|Haoran Sun
 
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* Analyzed latent space of VAE and AE on TIMIT
 
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* The same analysis on VAE with larger latent space dimension
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* The same analysis on Glow
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* Supervised approaches
 
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第84行: 第90行:
 
|Jiawen Kang
 
|Jiawen Kang
 
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*  
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* Prepare new Near-far data
*  
+
* Collect experiments data
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* Write multi-conditon paper
 
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*  
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* Revise multi-conditon paper
*  
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* MAML experiments
 
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第97行: 第104行:
 
|Ruiqi Liu
 
|Ruiqi Liu
 
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*Complete the experiment and write the paper.
 
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*
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*Continue.
 
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第107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