Placing one Hebbian fast-weight module after the final stage of Swin-Tiny achieves 96.2% accuracy on 5-way 1-shot Omniglot classification, outperforming the non-Hebbian baseline by 0.3 points.
Differentiable plasticity: training plastic neural networks with backpropagation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Where to Bind Matters: Hebbian Fast Weights in Vision Transformers for Few-Shot Character Recognition
Placing one Hebbian fast-weight module after the final stage of Swin-Tiny achieves 96.2% accuracy on 5-way 1-shot Omniglot classification, outperforming the non-Hebbian baseline by 0.3 points.