We study offline model-based optimization to maximize a black-box object...
Starting from the resurgence of deep learning, vision-language models (V...
Differentiable optimization has received a significant amount of attenti...
Mixup, which creates synthetic training instances by linearly interpolat...
Bi-level optimization, especially the gradient-based category, has been
...
We propose a novel framework for Alzheimer's disease (AD) detection usin...
Labels are costly and sometimes unreliable. Noisy label learning,
semi-s...
Images are more than a collection of objects or attributes – they repres...
Training a Generative Adversarial Networks (GAN) for a new domain from
s...