Multimodal Masked Autoencoder Pre-training for 3D MRI-based Brain Tumor Analysis with Missing Modalities This is a Python repository for recovering weights or re-training a multimodal masked ...

The autoencoder network model for HIV classification, proposed in this paper, thus outperforms the conventional feedforward neural network models and is a much better classifier.

We propose a Crystal Diffusion Variational Autoencoder (CDVAE) that captures the physical inductive bias of material stability. By learning from the data distribution of stable materials, the decoder ...

In the context of the continuous increase of new things, zero-shot learning (ZSL) has been proposed to reduce recognition costs, with the goal of classifying or predicting new classes that were not ...