#representation-learning2 articles

2 articles

AIBullisharXiv – CS AI · 6h ago1

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Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection

Researchers have developed a new framework for privacy-preserving feature selection that uses permutation-invariant representation learning and federated learning techniques. The approach addresses data imbalance and privacy constraints in distributed scenarios while improving computational efficiency and downstream task performance.

AINeutralarXiv – CS AI · 6h ago1

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Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry

Researchers analyzed DINOv2 vision transformer using Sparse Autoencoders to understand how it processes visual information, discovering that the model uses specialized concept dictionaries for different tasks like classification and segmentation. They propose the Minkowski Representation Hypothesis as a new framework for understanding how vision transformers combine conceptual archetypes to form representations.