Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning

In this paper, we propose a new self-supervised learning (SSL) method for representations that enable logic operations. Representation learning has been applied to various tasks like image generation and retrieval. The logical controllability of representations is important for these tasks. Although...

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Bibliographic Details
Main Authors: Hiroki Nakamura, Masashi Okada, Tadahiro Taniguchi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10528856/