2 papers
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…
cs.CV2024
Learning with Noisy Ground Truth: From 2D Classification to 3D Reconstruction
Yangdi Lu, Wenbo He
Deep neural networks has been highly successful in data-intense computer vision applications, while such success relies heavily on the massive and clean data. In real-world scenari…