Recent studies have proposed unified user modeling frameworks that lever...
A recent trend shows that a general class of models, e.g., BERT, GPT-3, ...
Temporal set prediction is becoming increasingly important as many compa...
General-purpose representation learning through large-scale pre-training...
Probabilistic time-series models become popular in the forecasting field...
Graph Neural Networks (GNNs) have been emerging as a promising method fo...
The GANs are generative models whose random samples realistically reflec...
Image generation remains a fundamental problem in artificial intelligenc...