Instance-Level Embedding Adaptation for Few-Shot Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2906665
Abstract: Few-shot learning aims to recognize novel categories from just a few labeled instances. Existing metric learning-based approaches perform classifications by nearest neighbor search in the embedding space. The embedding function is a deep neural network… read more here.
Keywords: adaptation; instance level; shot learning; instance ... See more keywords
School-Aged Children Learn Novel Categories on the Basis of Distributional Information
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.799241
Abstract: Categorization of sensory stimuli is a vital process in understanding the world. In this paper we show that distributional learning plays a role in learning novel object categories in school-aged children. An 11-step continuum was… read more here.
Keywords: learn novel; children learn; school aged; aged children ... See more keywords