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Found 4 papers, 1 papers with code
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
Cell detection is a fundamental task in computational pathology that can be used for extracting high-level medical information from whole-slide images.
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference
We apply AESPA to popular ML models, such as VGGNet, ResNet, and pre-activation ResNet, to show an inference accuracy comparable to those of the standard models with ReLU activation, achieving superior accuracy over prior low-degree polynomial studies.
Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs
Homomorphic encryption (HE) draws huge attention as it provides a way of privacy-preserving computations on encrypted messages.
Cryptography and Security Distributed, Parallel, and Cluster Computing
Restructuring Batch Normalization to Accelerate CNN Training
Batch Normalization (BN) has become a core design block of modern Convolutional Neural Networks (CNNs).
