“2020-07-20”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） |
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| （7位用户的7个中间修订版本未显示） | |||
| 第6行： | 第6行： | ||
|Dong Wang | |Dong Wang | ||
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| − | * | + | * Explore the theoreteical explanation of the regularied training |
| + | * More work on the NB theory. | ||
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| − | * | + | * Complete Yunqi's TASLP paper. |
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| 第17行： | 第18行： | ||
|Yunqi Cai | |Yunqi Cai | ||
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| − | * | + | *experiments on DNF-R |
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| − | * | + | *Finish the experiments and prepare the paper |
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| 第28行： | 第29行： | ||
|Zhiyuan Tang | |Zhiyuan Tang | ||
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| − | * | + | * Adaptation for dt-dnf asr. |
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| − | * | + | * Continue. |
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| 第39行： | 第40行： | ||
|Lantian Li | |Lantian Li | ||
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| − | * | + | * Enroll-test mismatch (MCT vs. MLE, MLE-p vs. MLE-f) |
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| − | * | + | * Complete enroll-test's paper. |
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| 第50行： | 第51行： | ||
|Ying Shi | |Ying Shi | ||
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| − | * | + | * investigate about how to augment data with sub space flow |
| − | + | * train a new sub space flow with learnable mean | |
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| − | * | + | * test a new sub space flow with learnable mean |
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| 第62行： | 第63行： | ||
|Haoran Sun | |Haoran Sun | ||
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| − | * | + | * some analysises of latent space on VAE, RealNVP and DNF |
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| − | * | + | * more analysises on DNF |
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| 第84行： | 第85行： | ||
|Jiawen Kang | |Jiawen Kang | ||
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| − | * | + | * RobustMAML experiments |
| − | * | + | * Revise Paper |
| + | * Mismatch experiments | ||
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| − | * | + | * RobustMAML experiments |
| − | * | + | * Mismatch experiments |
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| 第97行： | 第99行： | ||
|Ruiqi Liu | |Ruiqi Liu | ||
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| − | * | + | * Continue to revise the paper |
| + | * MCT and MAML experiments | ||
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| − | * | + | * Continue these work |
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| 第107行： | 第110行： | ||
|Haolin Chen | |Haolin Chen | ||
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| − | * | + | * Analysis on subspace Flow r space |
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| − | * | + | * Subspace Flow |
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2020年7月19日 (日) 23:59的最后版本
| People | This Week | Next Week | Task Tracking (DeadLine) |
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| Dong Wang |
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| Yunqi Cai |
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| Zhiyuan Tang |
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| Lantian Li |
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| Ying Shi |
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| Haoran Sun |
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| Yue Fan |
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| Jiawen Kang |
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| Ruiqi Liu |
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| Haolin Chen |
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