Xin Gan

Encouraging Disentangled and Convex Representation with Controllable Interpolation Regularization

2021 · arXiv (Cornell University)

We focus on controllable disentangled representation learning (C-Dis-RL), where users can control the partition of the disentangled latent space to factorize dataset attributes (concepts) for downstream tasks. Two general problems remain under-explored in current methods: …