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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
  • experiments on Gaussian regularization
Zhiyuan Tang
  • Adaptation with nf-dt asr.
  • Continue.
Lantian Li
  • Compare two MLE methods.
  • Length norm and whitening in NL scoring.
  • Self-learning plus NDA.
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