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Diffusion Models and Concept Formation

Paper recorded by Signals 4 on 2026-09-11 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-11 on arXiv · recorded by Signals 4 on 2026-09-14

Category: cs.AI · 人工智能 · first seen 2026-09-14

Abstract

Humans organize knowledge into a taxonomy of concepts with nested levels of abstraction and a \emph{basic level} at which people recognize and name objects with the least cognitive effort. Cobweb is a classic cognitive account of this ability, an incremental learner that builds a probabilistic concept hierarchy by maximizing category utility. We argue that diffusion models, although designed for i

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#92 most recent of 300 cs.AI papers we have recorded · ↑ newer: Dynin-Robotics: Omnimodal Unified Diffusion Vision-Language-Action Mod · ↓ older: Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Mod
Cite this page: Diffusion Models and Concept Formation: the #92 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/diffusion-models-and-concept-formation.html
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