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03/03/2023

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

Self-supervised learning (SSL) strategies have demonstrated remarkable p...
02/23/2023

Improving Adaptive Conformal Prediction Using Self-Supervised Learning

Conformal prediction is a powerful distribution-free tool for uncertaint...
02/28/2023

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 ...
03/02/2023

Implicit Neural Representations for Modeling of Abdominal Aortic Aneurysm Progression

Abdominal aortic aneurysms (AAAs) are progressive dilatations of the abd...
03/20/2023

Approaching an unknown communication system by latent space exploration and causal inference

This paper proposes a methodology for discovering meaningful properties ...
03/01/2023

Collage Diffusion

Text-conditional diffusion models generate high-quality, diverse images....
03/13/2023

Are Models Trained on Indian Legal Data Fair?

Recent advances and applications of language technology and artificial i...
03/15/2023

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

The field of automated machine learning (AutoML) introduces techniques t...
02/27/2023

TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter

Recommendation systems are a core feature of social media companies with...