Learning from human feedback has been shown to improve text-to-image mod...
The impact and originality are two critical dimensions for evaluating
sc...
The ability to generalize to unseen domains is crucial for machine learn...
In this study, we propose Shortcut Fine-tuning (SFT), a new approach for...
Score-based generative models are shown to achieve remarkable empirical
...
In scientific research, collaboration is one of the most effective ways ...
Out-of-distribution (OOD) detection is indispensable for machine learnin...
One of the difficulties of conversion rate (CVR) prediction is that the
...
Rich user behavior data has been proven to be of great value for
click-t...
Efficient Reinforcement Learning usually takes advantage of demonstratio...
We analyze the publication records of individual scientists, aiming to
q...
Click-through rate (CTR) prediction, whose goal is to estimate the
proba...
Models applied on real time response task, like click-through rate (CTR)...