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.
Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding
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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.