research
∙
10/19/2022
Differentiable Self-Adaptive Learning Rate
Learning rate adaptation is a popular topic in machine learning. Gradien...
share
research
∙
04/09/2021
FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search
Recently, some Neural Architecture Search (NAS) techniques are proposed ...
research
∙
10/15/2020
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results
In recent years, many spatial-temporal graph convolutional network (STGC...
research
∙
09/18/2020
EM-RBR: a reinforced framework for knowledge graph completion from reasoning perspective
Knowledge graph completion aims to predict the new links in given entiti...
research
∙
04/09/2020
ConsciousControlFlow(CCF): A Demonstration for conscious Artificial Intelligence
In this demo, we present ConsciousControlFlow(CCF), a prototype system t...
research
∙
03/03/2020
