Hey guys, in this episode I talk about Data2Vec, a revolutionary algorithm that is able to learn from 3 different data modalities, audio, text and image and be better or comparable than previous state of the art methods. Also this algorithm uses a self-supervised approach, which means that it doesn’t use labels to the training. If you want to better understand it go listen to the episode! 

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Paper: https://arxiv.org/pdf/2202.03555.pdf 
Github code and models: https://github.com/pytorch/fairseq/tree/main/examples/data2vec

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