Class-incremental continual learning is a core step towards developing
a...
To reproduce the success of text-to-image (T2I) generation, recent works...
Solar activity is usually caused by the evolution of solar magnetic fiel...
Obtaining high-quality magnetic and velocity fields through Stokes inver...
To thrive in evolving environments, humans are capable of continual
acqu...
Deep learning-based models are developed to automatically detect if a re...
Objective: Temporal electronic health records (EHRs) can be a wealth of
...
Despite the remarkable performance, Deep Neural Networks (DNNs) behave a...
Existing adversarially trained models typically perform inference on tes...
Learning semantically meaningful features is important for Deep Neural
N...
Among existing uncertainty estimation approaches, Dirichlet Prior Networ...
The broad adoption of Electronic Health Records (EHR) has led to vast am...
Existing defenses against adversarial attacks are typically tailored to ...
Gaussian distributions are commonly used as a key building block in many...
User opinions expressed in the form of ratings can influence an individu...