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On the Expressivity of Persistent Homology in Graph Learning

Persistent homology, a technique from computational topology, has recent...

Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems

Self-supervised learning (SSL) strategies have demonstrated remarkable p...

Improving Adaptive Conformal Prediction Using Self-Supervised Learning

Conformal prediction is a powerful distribution-free tool for uncertaint...

Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning

Multimodal few-shot learning is challenging due to the large domain gap ...

Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles

We present a joint camera and radar approach to enable autonomous vehicl...

Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression

Abdominal aortic aneurysms (AAAs) are progressive dilatations of the abd...

Collage Diffusion

Text-conditional diffusion models generate high-quality, diverse images....

Are Models Trained on Indian Legal Data Fair?

Recent advances and applications of language technology and artificial i...

Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML

The field of automated machine learning (AutoML) introduces techniques t...