SHARe-KAN compresses KAN prediction-head storage by 9.3X via post-training vector quantization at a 2-point mAP cost on PASCAL VOC detection, with no retraining and good zero-shot transfer.
Efficient processing of deep neural networks: A tutorial and survey.Proceedings of the IEEE, 105(12):2295–2329
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SHARe-KAN: Post-Training Vector Quantization for Cache-Resident KAN Inference
SHARe-KAN compresses KAN prediction-head storage by 9.3X via post-training vector quantization at a 2-point mAP cost on PASCAL VOC detection, with no retraining and good zero-shot transfer.