A block-circulant photonic tensor core runs structure-compressed image classifiers within about 1.4 to 3.7 percentage points of full-precision digital models while reducing trainable parameters by up to 74.91%.
Deep residual learning for image recognition,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.AR 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Hardware-Efficient Photonic Tensor Core: Accelerating Deep Neural Networks with Structured Compression
A block-circulant photonic tensor core runs structure-compressed image classifiers within about 1.4 to 3.7 percentage points of full-precision digital models while reducing trainable parameters by up to 74.91%.