With the growing interest in pretrained vision-language models like CLIP...
Existing event-centric NLP models often only apply to the pre-defined
on...
Given a prefix (context), open-ended generation aims to decode texts tha...
A novel method, named Curvature-Augmented Manifold Embedding and Learnin...
The entity typing task aims at predicting one or more words or phrases t...
The electric grid is a key enabling infrastructure for the ambitious
tra...
The explosive increase of multimodal data makes a great demand in many
c...
The recent release of large-scale healthcare datasets has greatly propel...
Deep Neural Networks, despite their great success in diverse domains, ar...
Understanding the dynamic behavior of tires and their interactions with ...
Automatically verifying rumorous information has become an important and...
Advertisers that engage in real-time bidding (RTB) to display their ads
...
With the increasing availability of traffic data and advance of deep
rei...
Cooperation is critical in multi-agent reinforcement learning (MARL). In...
Due to the existence of various views or representations in many real-wo...