9 citations · 9 across the 1 of their papers we have counts for
4 papers · 1 filter
ModelHub.AI: Dissemination Platform for Deep Learning Models
Ahmed Hosny, Michael Schwier, Christoph Berger +13
Recent advances in artificial intelligence research have led to a profusion of studies that apply deep learning to problems in image analysis and natural language processing among…
Exploring Self-Supervised Regularization for Supervised and Semi-Supervised Learning
Phi Vu Tran
Recent advances in semi-supervised learning have shown tremendous potential in overcoming a major barrier to the success of modern machine learning algorithms: access to vast amoun…
Multi-Task Graph Autoencoders
Phi Vu Tran
We examine two fundamental tasks associated with graph representation learning: link prediction and node classification. We present a new autoencoder architecture capable of learni…
Learning to Make Predictions on Graphs with Autoencoders
Phi Vu Tran
We examine two fundamental tasks associated with graph representation learning: link prediction and semi-supervised node classification. We present a novel autoencoder architecture…