Seeing is believing, however, the underlying mechanism of how human visu...
Due to the nature of risk management in learning applicable policies,
ri...
Ensemble methods can deliver surprising performance gains but also bring...
A good state representation is crucial to solving complicated reinforcem...
The distribution shifts between training and test data typically undermi...
Offline reinforcement learning (RL) aims at learning policies from previ...
Fine-tuning pretrained models is a common practice in domain generalizat...
Time series data generation has drawn increasing attention in recent yea...
Infrared target tracking plays an important role in both civil and milit...
Interactive recommender system (IRS) has drawn huge attention because of...
Sequential recommendation task aims to predict user preference over item...
The emergence of real-time auction in online advertising has drawn huge
...
User response prediction, which models the user preference w.r.t. the
pr...
CycleGAN is capable of learning a one-to-one mapping between two data
di...
Survival analysis is a hotspot in statistical research for modeling
time...
In online advertising, the Internet users may be exposed to a sequence o...
Real-time bidding (RTB) based display advertising has become one of the ...
Class label information has been empirically proven to be very useful in...
The majority of online display ads are served through real-time bidding ...
We present a question answering system over DBpedia, filling the gap bet...