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R2D2: Relational Text Decoding with Transformers
The other side ignores the sequential nature of the text by representing them as fixed-dimensional vectors and apply graph neural networks.
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation
Abbreviation disambiguation is important for automated clinical note processing due to the frequent use of abbreviations in clinical settings.
$β$-VAEs can retain label information even at high compression
In this paper, we investigate the degree to which the encoding of a $\beta$-VAE captures label information across multiple architectures on Binary Static MNIST and Omniglot.
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