Deep Learning
CamoPatch: An Evolutionary Strategy for Generating Camouflaged Adversarial Patches
Adversarial patches have shown to be highly effective in causing DNNs to misclassify by distorting a localized area (patch) of the image.
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding
Black-box AI systems are increasingly being deployed to help end-users with everyday tasks.
Optimizing Prompts for Text-to-Image Generation Y aru Hao
Well-designed prompts can guide text-to-image models to generate amazing images.
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
We present a simple yet effective method of pre-training on high-resource tasks, followed by fine-tuning on a mixture of high/low-resource tasks. We provide a thorough empirical study and analysis of this method's benefits
A new perspective on building efficient and expressive 3D equivariant graph neural networks
Geometric deep learning enables the encoding of physical symmetries in modeling 3D objects.
