A Contrastive Learning Approach for Training Variational Autoencoder Priors
Summary of Dai et al.'s NeurIPS 2021 paper introducing Noise Contrastive Priors (NCPs), a novel method using noise …
Deep Learning Summaries
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Summary of Weiler et al.'s 3D Steerable CNNs paper from NeurIPS 2018, which introduces SE(3)-equivariant convolutional …