Papers with Dirichlet distributions
Learning VAE-LDA Models with Rounded Reparameterization Trick (2020.emnlp-main)
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| Challenge: | No reparameterization form of Dirichlet distributions is known to date for topic models . |
| Approach: | They propose a method to reparameterize Dirichlet distributions for the learning of VAE-LDA models by using a latent Dirichlets prior. |
| Outcome: | The proposed method outperforms existing neural topic models on benchmark datasets and on a synthetic dataset. |
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation (2022.emnlp-main)
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| Challenge: | Question answering models often suffer from performance deterioration upon deployment . |
| Approach: | They propose a self-supervised framework called QADA for QA domain adaptation . they propose to augment training QA samples with hidden space augmentation . |
| Outcome: | The proposed framework improves on multiple target datasets over state-of-the-art methods. |