research
∙
06/21/2022
Few-Max: Few-Shot Domain Adaptation for Unsupervised Contrastive Representation Learning
Contrastive self-supervised learning methods learn to map data points su...
share
research
∙
10/31/2020
Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference
Efficient modeling of relational data arising in physical, social, and i...
research
∙
07/09/2020
Long Short-Term Memory Spiking Networks and Their Applications
Recent advances in event-based neuromorphic systems have resulted in sig...
research
∙
12/21/2019
Learning Representations by Maximizing Mutual Information in Variational Autoencoder
Variational autoencoders (VAE) have ushered in a new era of unsupervised...
research
∙
08/03/2018