2 papers
stat.ML2025
Semi-Supervised Learning under General Causal Models
Archer Moore, Heejung Shim, Jingge Zhu +1
Semi-supervised learning (SSL) aims to train a machine learning model using both labelled and unlabelled data. While the unlabelled data have been used in various ways to improve t…
cs.CV2024
Efficient Neural Implicit Representation for 3D Human Reconstruction
Zexu Huang, Sarah Monazam Erfani, Siying Lu +1
High-fidelity digital human representations are increasingly in demand in the digital world, particularly for interactive telepresence, AR/VR, 3D graphics, and the rapidly evolving…