Generative Modeling

A Contrastive Learning Approach for Training Variational Autoencoder Priors

Dai et al.'s NeurIPS 2021 paper introducing Noise Contrastive Priors (NCPs) to address VAE's 'prior hole' problem with …...

Deep Learning

3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data

Weiler et al.'s NeurIPS 2018 paper introducing SE(3)-equivariant CNNs for volumetric data using group theory and …...