neural network inference

R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference ICLR 2025 BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference NeurIPS 2024 Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024 Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed NSDI 2024 MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures OSDI 2024 NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes NeurIPS 2024 SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference ICML 2023 CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference NeurIPS 2022 FP8 Quantization: The Power of the Exponent NeurIPS 2022 Microsecond-scale Preemption for Concurrent GPU-accelerated DNN Inferences OSDI 2022 Scaling Open vSwitch with a Computational Cache NSDI 2022 Circa: Stochastic ReLUs for Private Deep Learning NeurIPS 2021 FracBits: Mixed Precision Quantization via Fractional Bit-Widths AAAI 2021 WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic ICLR 2021