research
∙
05/26/2023
Diable: Efficient Dialogue State Tracking as Operations on Tables
Sequence-to-sequence state-of-the-art systems for dialogue state trackin...
share
research
∙
03/01/2022
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs
Question answering over temporal knowledge graphs (KGs) efficiently uses...
research
∙
03/11/2021
TAG: Transformer Attack from Gradient
Although federated learning has increasingly gained attention in terms o...
research
∙
01/18/2021
Discrete Graph Structure Learning for Forecasting Multiple Time Series
Time series forecasting is an extensively studied subject in statistics,...
research
∙
03/27/2019
Posteriori Probabilistic Bounds of Convex Scenario Programs with Validation Tests
Scenario programs have established themselves as efficient tools towards...
research
∙
11/11/2018
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion
Knowledge graph embedding has been an active research topic for knowledg...
research
∙
02/14/2018
Edge Attention-based Multi-Relational Graph Convolutional Networks
Graph convolutional network (GCN) is generalization of convolutional neu...
research
∙
08/22/2017