2 papers
cs.LG2025
Joint-stochastic-approximation Random Fields with Application to Semi-supervised Learning
Yunfu Song, Zhijian Ou
Our examination of deep generative models (DGMs) developed for semi-supervised learning (SSL), mainly GANs and VAEs, reveals two problems. First, mode missing and mode covering phe…
cs.LG2025
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning
Wenbo He, Zhijian Ou
Our examination of existing deep generative models (DGMs), including VAEs and GANs, reveals two problems. First, their capability in handling discrete observations and latent codes…