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Overcoming Label Ambiguity with Multi-label Iterated Learning
This ambiguity biases models towards a single prediction, which could result in the suppression of classes that tend to co-occur in the data.
Towards Text Generation with Adversarially Learned Neural Outlines
We generate outlines with an adversarial model trained to approximate the distribution of sentences in a latent space induced by general-purpose sentence encoders.
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