Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng, Jiayuan Zhang, Yuhang Wu +2
Hebbian learning is a biological principle that intuitively describes how neurons adapt their connections through repeated stimuli. However, when applied to machine learning, it su…
cs.LG2024
Denoising Autoregressive Representation Learning
Yazhe Li, Jorg Bornschein, Ting Chen
In this paper, we explore a new generative approach for learning visual representations. Our method, DARL, employs a decoder-only Transformer to predict image patches autoregressiv…