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第30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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People |
This Week |
Next Week |
Task Tracking (DeadLine)
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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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Yunqi Cai
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Zhiyuan Tang
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- Adaptation with nf-dt asr.
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Lantian Li
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- Compare two MLE methods.
- Length norm and whitening in NL scoring.
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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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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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Yue Fan
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Jiawen Kang
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- Read NDA papers;
- MAML code;
- MAML experiments.
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- MAML SSMC&MC experiments.
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Ruiqi Liu
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- revise the paper draft.
- Multi-genre generalization.
- MC experiments data.
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Haolin Chen
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- Subspace Flow
- Noisy r var=1, fixed mean
- GMM Loss
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- Subspace Flow
- Other noise
- Improve performance
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