A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text
Table 6: Noisy reconstruction loss (↓) on SNLI. #swap denotes the number of word swaps.
['[BOLD] #swap', '[BOLD] 1', '[BOLD] 2', '[BOLD] 3', '[BOLD] 4']
Zhao et al. We follow their experiments and introduce noise to the input by randomly swapping words k times. In contrast, our method outperforms all the baselines by a large margin when k>1.