My notes/code/projects related to Reinforcement Learning

Blogs

Reinforcement Learning

Resources

Self Supervised Learning

  • Notes on W2V-BERT
    • w2v-BERT is a framework that combines contrastive learning and MLM, where the former trains the model to discretise input continuous speech signals into a finite set of discriminative speech tokens, and the latter trains the model to learn contextualised speech representations via solving a masked prediction task consuming the discretised tokens.
  • Notes on AudioMAE
  • Notes on PolyGrad